Methods and kits for classifying diffuse large B-cell lymphomas (DLBCLs) into GCB-DLBCLs or into ABC-DLBCLs

ABSTRACT

The present invention relates to a method for classifying a diffuse large B-cell lymphoma (DLBCL) of a subject into a GCB-DLBCL or into a ABC-DLBCL comprising the step of determining the expression level of 10 genes in a tumor tissue sample obtained from the subject by performing a Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) assay wherein the 10 genes are NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2 and MYBL1.

FIELD OF THE INVENTION

The present invention relates to methods and kits for classifying a diffuse large B-cell lymphoma (DLBCL) of a subject into a GCB-DLBCL or into a ABC-DLBCL.

BACKGROUND OF THE INVENTION

Diffuse large B-cell lymphoma (DLBCL) is the most frequent non-Hodgkin's lymphoma (NHL), accounting for 30 to 40% of diagnoses¹. Its prognosis has significantly improved over the last decade, predominantly because of the addition of the Rituximab antibody to chemotherapy regimens². Unfortunately, approximately one third of subjects do not respond to therapies or rapidly relapse, and a majority of them rapidly succumb from the disease³. These differences in clinical evolutions can, at least in part, be explained by the heterogeneity of this tumor, which regroups two major subtypes with different outcomes⁴. The first, termed germinal center B cell-like (GCB), develops from germinal center B-cells. It is the most curable, with a 5 years overall survival rate of nearly 75%. The second, termed activated B-Cell like (ABC), develops from late GC-B cells or plasmablasts. It is more aggressive and can only be cured in approximately 30% of subjects⁵.

If this GCB/ABC cell of origin (COO) classification has been described more than 10 years ago, it still has little influence on clinical practices. However, recent advances suggest that these tumors could soon benefit from targeted therapies. Signaling through the B-cell receptor (BCR) has for example been shown to be essential for ABC DLBCL cells survival, and specific inhibitors directed against major component of the NFkappaB pathway should rapidly become available in the clinics (ref Roschewski et al, Nature review 2014). Similarly, GCB DLBCLs could soon benefit from inhibitors of the BCL2 or BCL6 oncoproteins, and from therapies targeting their recurrent epigenetic abnormalities. Unfortunately, these lymphomas are morphologically undistinguishable in routine diagnosis, which is a major problem for the development of these therapies. Furthermore, array-based gene expression profiling, which is considered as the “gold standard” to discriminate these tumors, remains poorly transposable to routine diagnosis, and the surrogate immunohistochemical (IHC) algorithms which have been proposed are often considered poorly reliable (ref Ludenburg consortium De Jong J C O 2007 and Salles Blood 2011).

SUMMARY OF THE INVENTION

The inventors developed a robust Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) based assay which allows a rapid, parsimonious and accurate classification of GCB and ABC DLBCLs in routine diagnosis. In particular, the present invention is defined by the claims.

DETAILED DESCRIPTION OF THE INVENTION

Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma. It is subdivided into two molecular subtypes, Germinal Center B cell-like (GCB) and Activated B Cell-like (ABC), which derive from mature B-cells at different stages of differentiation. Unfortunately, gene expression profiling methods to distinguish these diseases are not available in routine diagnosis and the surrogate immunohistochemical algorithms are considered poorly reproducible. To address this issue, the inventors have developed a simple and inexpensive gene expression profiling method based on a 14 gene signature and a Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) assay. Trained on 50 DLBCL cases, it proved its accuracy as compared to gene-expression profiling performed by Illumina DASL (50 cases) or Affymetrix arrays (64 cases), and to be more reliable than immunochemistry (176 cases). Moreover, RT-MLPA proved to be sensitive enough to obtain satisfactory results from FFPE samples (29 cases) and to be flexible enough to include further prognostic factors like MYC/BCL2 co-expression. Requiring only common molecular biology instruments (a thermocycler and a fragment analyzer), this assay could easily be implemented in routine laboratories and represents an adequate tool for the stratification of patients in prospective clinical trials and guide treatment decision making in clinical practice.

Accordingly, the present invention relates to a method for classifying a diffuse large B-cell lymphoma (DLBCL) of a subject into a GCB-DLBCL or into a ABC-DLBCL comprising the step of determining the expression level of 10 genes in a tumor tissue sample obtained from the subject by performing a Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) assay wherein the 10 genes are NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2 and MYBL1.

In some embodiments, the RT-MPLPA assay of the method of the present invention further comprises means for determining the expression level of CCND1in the tumor sample. Determining the expression level of CCND1is particularly suitable for excluding the fact that the B cell lymphoma of the subject is a mantle B cell lymphoma.

In some embodiments, the RT-MPLPA assay of the method of the present invention further comprises means for determining the expression level of MS4A1 in the tumor sample. Determining the expression level of MS4A1 is particularly suitable for determining whether the subject will achieve a response with an anti-CD20 antibody.

In some embodiments, the RT-MPLPA assay of the method of the present invention further comprises means for determining the expression level(s) of MYC and/or BCL2 in the tumor sample. Determining the expression level of MYC and/or BCL2 is particularly suitable for predicting the subject's survival outcome.

In some embodiments, the method of the present invention comprises a step of determining the expression level of 14 genes in a tumor tissue sample obtained from the subject by performing a Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) assay wherein the 14 genes are NEK6, IRF4, IGHM, CCND1, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2, MYC, MYBL1, BCL2, and MS4A1.

The term “tumor sample” means any tissue sample derived from the tumor of the subject. The tissue sample is obtained for the purpose of the in vitro evaluation and typically results from biopsy performed in a tumour of the subject. The sample can be fresh, frozen, or embedded (e.g., FFPE biopsy).

In the present specification, the name of each of the genes of interest refers to the internationally recognised name of the corresponding gene, as found in internationally recognised gene sequences and protein sequences databases, including the database from the HUGO Gene Nomenclature Committee that is available notably at the following Internet address: gene.ucl.ac.uk/nomenclature/index.html. In the present specification, the name of each of the genes of interest may also refer to the internationally recognised name of the corresponding gene, as found in the internationally recognised gene sequences database Genbank. Through these internationally recognised sequence databases, the nucleic acid to each of the gene of interest described herein may be retrieved by one skilled in the art.

As used herein the term “NEK6” has its general meaning in the art and refers to the NIMA-related kinase 6 gene. A typical cDNA sequence of NEK6 is represented by SEQ ID NO:1.

(NEK6_homo sapiens) SEQ ID NO: 1 GGCGGAACCGAGCTGACGGGCGTGCGGCCGCTGCGCCGCAAACTCGTGTGGGACGCACCGCTCCAGCCG CCCGCGGGCCAGCGCACCGGTCCCCCAGCGGCAGCCGAGCCCGCCCGCGCGCCGGAGAAGAAGACACAT GAATTAGAGACAGCACGGGGGAGCAGGCTGTGGAGCTGGGAGTGACGGGGTGAGTCCAGGAAGGCTGCC TGGAGGAGATGCCCAGGAGAGAAGTTTGCTGGGAGGCAGCTCATTTCCGGCAGGAGGAGCAGAGCCTGC CAAGGCCTCGAGTTCGTGCCCTCGTGAGGCTGGCATGCAGGATGGCAGGACAGCCCGGCCACATGCCCC ATGGAGGGAGTTCCAACAACCTCTGCCACACCCTGGGG CCTGTGCATCCTCCTGACCCACAGAGGCATC CCAACACGCTGTCTTTTCGCTGCTCGCTGGCGGACTTCCAGATCGAAAAGAAGATAGGCCGAGGACAGT TCAGCGAGGTGTACAAGGCCACCTGCCTGCTGGACAGGAAGACAGTGGCTCTGAAGAAGGTGCAGATCT TTGAGATGATGGACGCCAAGGCGAGGCAGGACTGTGTCAAGGAGATCGGCCTCTTGAAGCAACTGAACC ACCCAAATATCATCAAGTATTTGGACTCGTTTATCGAAGACAACGAGCTGAACATTGTGCTGGAGTTGG CTGACGCAGGGGACCTCTCGCAGATGATCAAGTACTTTAAGAAGCAGAAGCGGCTCATCCCGGAGAGGA CAGTATGGAAGTACTTTGTGCAGCTGTGCAGCGCCGTGGAGCACATGCATTCACGCCGGGTGATGCACC GAGACATCAAGCCTGCCAACGTGTTCATCACAGCCACGGGCGTCGTGAAGCTCGGTGACCTTGGTCTGG GCCGCTTCTTCAGCTCTGAGACCACCGCAGCCCACTCCCTAGTGGGGACGCCCTACTACATGTCACCGG AGAGGATCCATGAGAACGGCTACAACTTCAAGTCCGACATCTGGTCCCTGGGCTGTCTGCTGTACGAGA TGGCAGCCCTCCAGAGCCCCTTCTATGGAGATAAGATGAATCTCTTCTCCCTGTGCCAGAAGATCGAGC AGTGTGACTACCCCCCACTCCCCGGGGAGCACTACTCCGAGAAGTTACGAGAACTGGTCAGCATGTGCA TCTGCCCTGACCCCCACCAGAGACCTGACATCGGATACGTGCACCAGGTGGCCAAGCAGATGCACATCT GGATGTCCAGCACCTGAGCGTGGATGCACCGTGCCTTATCAAAGCCAGCACCACTTTGCCTTACTTGAG TCGTCTTCTCTTCGAGTGGCCACCTGGTAGCCTAGAACAGCTAAGACCACAGGGTTCAGCAGGTTCCCC AAAAGGCTGCCCAGCCTTACAGCAGATGCTGAAGGCAGAGCAGCTGAGGGAGGGGCGCTGGCCACATGT CACTGATGGTCAGATTCCAAAGTCCTTTCTTTATACTGTTGTGGACAATCTCAGCTGGGTCAATAAGGG CAGGTGGTTCAGCGAGCCACGGCAGCCCCCTGTATCTGGATTGTAATGTGAATCTTTAGGGTAATTCCT CCAGTGACCTGTCAAGGCTTATGCTAACAGGAGACTTGCAGGAGACCGTGTGATTTGTGTAGTGAGCCT TTGAAAATGGTTAGTACCGGGTTCAGTTTAGTTCTTAGTATCTTTTCAATCAAGCTGTGTGCTTAATTT ACTCTGTTGTAAAGGGATAAAGTGGAAATCATTTTTTTCCGTGGAGTGGTGATTCTGCTAACATTTTTA TCTACGTTTTATAACTTGGTGAGTGACGATGAGAGCCCTGCACCTGGCCAGAGTGTCACAGGCAAAAGG CATCGGGAAGCAGGAGCATCTTCTTGGCAGCCAGGCTGGGCCATCTTCTCCTGGACACCTGCTGTGTAC CAGGAACTTCGTCACCTCCTTGAATGCTGGCGGTTCATTTCATGATCAGTGTTAAGCATTTTCCTCCAT GGGAAGGAAGCATGGGATATAGAAAAGCGAAGGGCTGTCCTTTACAAATTCTGGTTCTGCAACTTCCTA GCGTGACTTTGGGCTTGGGCAAGTTTCTTAGCCGTTCTGAGCCTTCATTTCCTCATCTGTACAATGAGA TTAATAGTACCTATCATCTACCTTCAGGATTGCTGACAGACAGAATTTGAAATAAAATATGCAAGTTAG CTAATACAAAAAGTAGATGATCCAAAAATGGTAGCCACTCACCCTTCACAAACTGAAGTCCATGGACCA CGGAAGTCGAGAATTAATGTACACCTGTATCATGTGTAGGAAACCAGAAATGTGTTCCTTATTTCTTGT TCCCAAACAGGATTAACTGTGAAGACTAATTTATAAATGTGAACCTAAGAAAACTCCACCTCTGAAGGA AATCATTTGAATTTTGTTTTTGTACGTAAAGTTAACCTTCCAATTGTCTGAGCTGTCGTCACTGACTTC ATGACAGTCTGGCCCTCCAGACAAGAGCAGCGCTGGCATCGGGCAGGTGATTCCTGACACCTGCTGCCT GCAGGCATTCACTGACCAGGCCTTTCCTGGAGGAAACACCCAGGGCCGGGCGGCTGCTGTTTCCACACG TGGACTCGGATCTGCTGTGACACCGTCAGCCCGACAGTCTCTCCATATGCAGCCTTTCCTCTGTACTTT TCTCCATGGTTGAAATAAAACAGGGTGACTGGGAGTTACTTAGAATTCATGAAGATTTTAAAATGGCTT TGGAGATTTTGCTTTTAAACCAGTAGATTCAAAACTTAAACAGCGTCTGCAGCACAATTTCTTGAGGAA CCTTGAAAAACACAACTTCCCAGGCCCCATTCAGTAATCCCAGGATTTCTTTAAGCTCCCCAAATAATT TTGAAACTCATCATCAGCCGAGTTTCTGCCCTCATGAGGTAATTCCATCGTTCTCCCCAGCCTGCCCCT GGCAGCTGTAACACAGGAGCTGGCCTGAGAGCAGATTCACCCTGGAATGTTCTCTCCACAGAACAATCA AGTCCCTGTCGCCTGCCTAGTGCTTACCACTGAAGATTTTTCTGATTCCAGACCAACTTTTTGCCAACA TTCTGCTTCCAGCTCTCTGAGCCCCTGCCGTGTCTCCCCAACACTGCCAGCCCCAGCACGCAATCAACC TACTTTGTGCATGCCACCCGCTTTCCACACTGTGAGAACAATCTGCCCAACTGGACCCTCTGGAGGCGC ACGATCTCAGCCACTCACCAGGCCTGAGTGTTTGTGAAATGATCATGTCCTACTTATTACAAAACCGTA ACCCCAAAACATTCCTTTTATTTCTGTGAAACCGGCCAAAGTGAGGTCCACCCACCTTCACACAGCTCT GGCGGTGCACCTGCTCACCTTCTCTTGGTTCTCAGAACTGAGCTGGGCTTGAGAACACAGCTTTGGCTT TGCCATTTTTTTCCTACTTGGCTGCTGAGGTGGAGGGTGTGCTGCACTTATCACCCCATTTCAAAACCA AACCAAACCTGAGGCCACCCCAAACAAATTCAGCCAGCAAAAAGGGTAGGTATCGATGGTCACCTGAAG CCTCAAGGGAGTCCACTCTGACTTCTGACAG

As used herein the term “IRF4” has its general meaning in the art and refers to interferon regulatory factor 4 gene. A typical cDNA sequence of IRF4 is represented by SEQ ID NO:2.

(IRF4_homo sapiens) SEQ ID NO: 2 ACCTCGCACTCTCAGTTTCACCGCTCGATCTTGGGACCCACCGCTGCCCTCAGCTCCGAGTCCAGGGCG AGTGCAGAGCAGAGCGGGCGGAGGACCCCGGGCGCGGGCGCGGACGGCACGCGGGGCATGAACCTGGAG GGCGGCGGCCGAGGCGGAGAGTTCGGCATGAGCGCGGTGAGCTGCGGCAACGGGAAGCTCCGCCAGTGG CTGATCGACCAGATCGACAGCGGCAAGTACCCCGGGCTGGTGTGGGAGAACGAGGAGAAGAGCATCTTC CGCATCCCCTGGAAGCACGCGGGCAAGCAGGACTACAACCGCGAGGAGGACGCCGCGCTCTTCAAGGCT TGGGCACTGTTTAAAGGAAAGTTCCGAGAAGGCATCGACAAGCCGGACCCTCCCACCTGGAAGACGCGC CTGCGGTGCGCTTTGAACAAGAGCAATGACTTTGAGGAACTGGTTGAGCGGAGCCAGCTGGACATCTCA GACCCGTACAAAGTGTACAGGATTGTTCCTGAGGGAGCCAAAAAAGGAGCCAAGCAGCTCACCCTGGAG GACCCGCAGATGTCCATGAGCCACCCCTACACCATGACAACGCCTTACCCTTCGCTCCCAGCCCAGCAG GTTCACAACTACATGATGCCACCCCTCGACCGAAGCTGGAGGGACTACGTCCCGGATCAGCCACACCCG GAAATCCCGTACCAATGTCCCATGACGTTTGGACCCCGCGGCCACCACTGGCAAGGCCCAGCTTGTGAA AATGGTTGCCAGGTGACAGGAACCTTTTATGCTTGTGCCCCACCTGAGTCCCAGGCTCCCGGAGTCCCC ACAGAGCCAAGCATAAGGT CTGCCGAAGCCTTGGCGTTCTCAGACTGCCGGCTGCACATCTGCCTGTAC TACCGGGAAATCCTCGTGAAGGAGCTGACCACGTCCAGCCCCGAGGGCTGCCGGATCTCCCATGGACAT ACGTATGACGCCAGCAACCTGGACCAGGTCCTGTTCCCCTACCCAGAGGACAATGGCCAGAGGAAAAAC ATTGAGAAGCTGCTGAGCCACCTGGAGAGGGGCGTGGTCCTCTGGATGGCCCCCGACGGGCTCTATGCG AAAAGACTGTGCCAGAGCAGGATCTACTGGGACGGGCCCCTGGCGCTGTGCAACGACCGGCCCAACAAA CTGGAGAGAGACCAGACCTGCAAGCTCTTTGACACACAGCAGTTCTTGTCAGAGCTGCAAGCGTTTGCT CACCACGGCCGCTCCCTGCCAAGATTCCAGGTGACTCTATGCTTTGGAGAGGAGTTTCCAGACCCTCAG AGGCAAAGAAAGCTCATCACAGCTCACGTAGAACCTCTGCTAGCCAGACAACTATATTATTTTGCTCAA CAAAACAGTGGACATTTCCTGAGGGGCTACGATTTACCAGAACACATCAGCAATCCAGAAGATTACCAC AGATCTATCCGCCATTCCTCTATTCAAGAATGAAAAATGTCAAGATGAGTGGTTTTCTTTTTCCTTTTT TTTTTTTTTTTTTTGATACGGGGATACGGGGTCTTGCTCTGTCTCCCAGGCTGGAGTGCAGTGACACAA TCTCAGCTCACTGTGACCTCCGCCTCCTGGGTTCAAGAGACTCTCCTGCCTCAGCCTCCCTGGTAGCTG GGATTACAGGTGTGAGCCACTGCACCCACCCAAGACAAGTGATTTTCATTGTAAATATTTGACTTTAGT GAAAGCGTCCAATTGACTGCCCTCTTACTGTTTTGAGGAATTCAGAAGTGGAGATTTCAGTTCAGCGGT TGAGGAGAATTGCGGCGAGACAAGCATGGAAAATCAGTGACATCTGATTGGCAGATGAGCTTATTTCAA AAGGAAGGGTGGCTTTGCATTTCTTGTGTTCTGTAGACTGCCATCATTGATGATCACTGTGAAAATTGA CCAAGTGATGTGTTTACATTTACTGAAATGCGCTCTTTAATTTGTTGTAGATTAGGTCTTGCTGGAAGA CAGAGAAAACTTGCCTTTCAGTATTGACACTGACTAGAGTGATGACTGCTTGTAGGTATGTCTGTGCCA TTTCTCAGGGAAGTAAGATGTAAATTGAAGAAGCCTCACACGTAAAAGAAATGTATTAATGTATGTAGG AGCTGCAGTTCTTGTGGAAGACACTTGCTGAGTGAAGGAAATGAATCTTTGACTGAAGCCGTGCCTGTA GCCTTGGGGAGGCCCATCCCCCACCTGCCAGCGGTTTCCTGGTGTGGGTCCCTCTGCCCCGCCCTCCTT CCCATTGGCTTTCTCTCCTTGGCCTTTCCTGGAAGCCAGTTAGTAAACTTCCTATTTTCTTGAGTCAAA AAACATGAGCGCTACTCTTGGATGGGACATTTTTGTCTGTCCTACAATCTAGTAATGTCTAAGTAATGG TTAAGTTTTCTTGTTTCTGCATCTTTTTGACCCTCATTCTTTAGAGATGCTAAAATTCTTCGCATAAAG AAGAAGAAATTAAGGAACATAAATCTTAATACTTGAACTGTTGCCCTTCTGTCCAAGTACTTAACTATC TGTTCCCTTCCTCTGTGCCACGCTCCTCTGTTTGTTTGGCTGTCCAGCGATCAGCCATGGCGACACTAA AGGAGGAGGAGCCGGGGACTCCCAGGCTGGAGAGCACTGCCAGGACCCACCACTGGAAGCAGGATGGAG CTGACTACGGAACTGCACACTCAGTGGGCTGTTTCTGCTTATTTCATCTGTTCTATGCTTCCTCGTGCC AATTATAGTTTGACAGGGCCTTAAAATTACTTGGCTTTTTCCAAATGCTTCTATTTATAGAATCCCAAA GACCTCCACTTGCTTAAGTATACCTATCACTTACATTTTTGTGGTTTTGAGAAAGTACAGCAGTAGACT GGGGCGTCACCTCCAGGCCGTTTCTCATACTACAGGATATTTACTATTACTCCCAGGATCAGCAGAAGA TTGCGTAGCTCTCAAATGTGTGTTCCTGCTTTTCTAATGGATATTTTAAATTCATTCAACAAGCACCTA GTAAGTGCCTGCTGTATCCCTACATTACACAGTTCAGCCTTTATCAAGCTTAGTGAGCAGTGAGCACTG AAACATTATTTTTTAATGTTTAAAAAGTTTCTAATATTAAAGTCAGAATATTAATACAATTAATATTAA TATTAACTACAGAAAAGACAAACAGTAGAGAACAGCAAAAAAATAAAAAGGATCTCCTTTTTTCCCAGC CCAAATTCTCCTCTCTAAAAGTGTCCACAAGAAGGGGTGTTTATTCTTCCAACACATTTCACTTTTCTG TAAATATACATAAACTTAAAAAGAAAACCTCATGGAGTCATCTTGCACACACTTTCATGCAGTGCTCTT TGTAGCTAACAGTGAAGATTTACCTCGTTCTGCTCAGAGGCCTTGCTGTGGAGCTCCACTGCCATGTAC CCAGTAGGGTTTGACATTTCATTAGCCATGCAACATGGATATGTATTGGGCAGCAGACTGTGTTTCGTG AACTGCAGTGATGTATACATCTTATAGATGCAAAGTATTTTGGGGTATATTATCCTAAGGGAAGATAAA GATGATATTAAGAACTGCTGTTTCACGGGGCCCTTACCTGTGACCCTCTTTGCTGAAGAATATTTAACC CCACACAGCACTTCAAAGAAGCTGTCTTGGAAGTCTGTCTCAGGAGCACCCTGTCTTCTTAATTCTCCA AGCGGATGCTCCATTTCAATTGCTTTGTGACTTCTTCTTCTTTGTTTTTTTAAATATTATGCTGCTTTA ACAGTGGAGCTGAATTTTCTGGAAAATGCTTCTTGGCTGGGGCCACTACCTCCTTTCCTATCTTTACAT CTATGTGTATGTTGACTTTTTAAAATTCTGAGTGATCCAGGGTATGACCTAGGGAATGAACTAGCTATG AAATACTCAGGGTTAGGAATCCTAGCACTTGTCTCAGGACTCTGAAAAGGAACGGCTTCCTCATTCCTT GTCTTGATAAAGTGGAATTGGCAAACTAGAATTTAGTTTGTACTCAGTGGACAGTGCTGTTGAAGATTT GAGGACTTGTTAAAGAGCACTGGGTCATATGGAAAAAATGTATGTGTCTCCCAGGTGCATTTCTTGGTT TATGTCTTGTTCTTGAGATTTTGTATATTTAGGAAAACCTCAAGCAGTAATTAATATCTCCTGGAACAC TATAGAGAACCAAGTGACCGACTCATTTACAACTGAAACCTAGGAAGCCCCTGAGTCCTGAGCGAAAAC AGGAGAGTTAGTCGCCCTACAGAAAACCCAGCTAGACTATTGGGTATGAACTAAAAAGAGACTGTGCCA TGGTGAGAAAAATGTAAAATCCTACAGTGAAATGAGCAGCCCTTACAGTATTGTTACCACCAAGGGCAG GTAGGTATTAGTGTTTGAAAAAGCTGGTCTTTGAGCGAGGGCATAAATACAGCTAGCCCCAGGGGTGGA ACAACTCTGGGAGTCTTGGGTACTCGCACCTCTTGGCTTTGTTGATGCTCCGCCAGGAAGGCCACTTGT GTGTGCGTGTCAGTTACTTTTTTAGTAACAATTCAGATCCAGTGTAAACTTCCGTTCATTGCTCTCCAG TCACATGCCCCCACTTCCCCACAGGTGAAAGTTTTTCTGAAAGTGTTGGGATTGGTTAAGGTCTTTATT TGTATTACGTATCTCCCGAAGTCCTCTGTGGCCAGCTGCATCTGTCTGAATGGTGCGTGAAGGCTCTCA GACCTTACACACCATTTTGTAAGTTATGTTTTACATGCCCCGTTTTTGAGACTGATCTCGATGCAGGTG GATCTCCTTGAGATCCTGATAGCCTGTTACAGGAATGAAGTAAAGGTCAGTTTTTTTTTGTATTGATTT TCACAGCTTTGAGGAACATGCATAAGAAATGTAGCTGAAGTAGAGGGGACGTGAGAGAAGGGCCAGGCC GGCAGGCCAACCCTCCTCCAATGGAAATTCCCGTGTTGCTTCAAACTGAGACAGATGGGACTTAACAGG CAATGGGGTCCACTTCCCCCTCTTCAGCATCCCCCGTACCCCACTTTCTGCTGAAAGAACTGCCAGCAG GTAGGACCCCAGAGGCCCCCAAATGAAAGCTTGAATTTCCCCTACTGGCTCTGCGTTTTGCTGAGATCT GTAGGAAAGGATGCTTCACAAACTGAGGTAGATAATGCTATGCTGTCGTTGGTATACATCATGAATTTT TATGTAAATTGCTCTGCAAAGCAAATTGATATGTTTGATAAATTTATGTTTTTAGGTAAATAAAAACTT TTAAAAATTTGTTATGGA

As used herein the term “IGHM” has its general meaning in the art and refers to immunoglobulin heavy constant mu gene. A typical cDNA sequence of IGHM is represented by SEQ ID NO:3.

(IGHM_homo sapiens) SEQ ID NO: 3  GGGAGTGCATCCGCCCCAACCCTTTTCCCCCTCGTCTCCTGTGAGAATTC CCCGTCGGATACGAGCAGCGTGGCCGTTGGCTGCCTCGCACAGGACTTCC TTCCCGACTCCATCACTTTCTCCTGGAAATACAAGAACAACTCTGACATC AGCAGCACCCGGGGCTTCCCATCAGTCCTGAGAGGGGGCAAGTACGCAGC CACCTCACAGGTGCTGCTGCCTTCCAAGGACGTCATGCAGGGCACAGACG AACACGTGGTGTGCAAAGTCCAGCACCCCAACGGCAACAAAGAAAAGAAC GTGCCTCTTCCAGTGATTGCCGAGCTGCCTCCCAAAGTGAGCGTCTTCGT CCCACCCCGCGACGGCTTCTTCGGCAACCCCCGCAAGTCCAAGCTCATCT GCCAGGCCACGGGTTTCAGTCCCCGGCAGATTCAGGTGTCCTGGCTGCGC GAGGGGAAGCAGGTGGGGTCTGGCGTCACCACGGACCAGGTGCAGGCTGA GGCCAAAGAGTCTGGGCCCACGACCTACAAGGTGACCAGCACACTGACCA TCAAAGAGAGCGACTGGCTCAGCCAGAGCATGTTCACCTGCCGCGTGGAT CACAGGGGCCTGACCTTCCAGCAGAAT GCGTCCTCCATGTGTGGCCCCGA TCAAGACACAGCCATCCGGGTCTTCGCCATCCCCCCATCCTTTGCCAGCA TCTTCCTCACCAAGTCCACCAAGTTGACCTGCCTGGTCACAGACCTGACC ACCTATGACAGCGTGACCATCTCCTGGACCCGCCAGAATGGCGAAGCTGT GAAAACCCACACCAACATCTCCGAGAGCCACCCCAATGCCACTTTCAGCG CCGTGGGTGAGGCCAGCATCTGCGAGGATGACTGGAATTCCGGGGAGAGG TTCACGTGCACCGTGACCCACACAGACCTGCCCTCGCCACTGAAGCAGAC CATCTCCCGGCCCAAGGGGGTGGCCCTGCACAGGCCCGATGTCTACTTGC TGCCACCAGCCCGGGAGCAGCTGAACCTGCGGGAGTCGGCCACCATCACG TGCCTGGTGACGGGCTTCTCTCCCGCGGACGTCTTCGTGCAGTGGATGCA GAGGGGGCAGCCCTTGTCCCCGGAGAAGTATGTGACCAGCGCCCCAATGC CTGAGCCCCAGGCCCCAGGCCGGTACTTCGCCCACAGCATCCTGACCGTG TCCGAAGAGGAATGGAACACGGGGGAGACCTACACCTGCGTGGTGGCCCA TGAGGCCCTGCCCAACAGGGTCACCGAGAGGACCGTGGACAAGTCCACCG GTAAACCCACCCTGTACAACGTGTCCCTGGTCATGTCCGACACAGCTGGC ACCTGCTACTGACCCTGCTGGCCTGCCCACAGGCTCGGGGCGGCTGGCCG CTCTGTGTGTGCATGCAAACTAACCGTGTCAACGGGGTGAGATGTTGCAT CTTATAAAATT

As used herein the term “CCND1” has its general meaning in the art and refers to cyclin D1 gene. A typical cDNA sequence of CCND1 is represented by SEQ ID NO:4.

(CCND1_homo sapiens) SEQ ID NO: 4  GCTTAACAACAGTAACGTCACACGGACTACAGGGGAGTTTTGTTGAAGTT GCAAAGTCCTGGAGCCTCCAGAGGGCTGTCGGCGCAGTAGCAGCGAGCAG CAGAGTCCGCACGCTCCGGCGAGGGGCAGAAGAGCGCGAGGGAGCGCGGG GCAGCAGAAGCGAGAGCCGAGCGCGGACCCAGCCAGGACCCACAGCCCTC CCCAGCTGCCCAGGAAGAGCCCCAGCCATGGAACACCAGCTCCTGTGCTG CGAAGTGGAAACCATCCGCCGCGCGTACCCCGATGCCAACCTCCTCAACG ACCGGGTGCTGCGGGCCATGCTGAAGGCGGAGGAGACCTGCGCGCCCTCG GTGTCCTACTTCAAATGTGTGCAGAAGGAGGTCCTGCCGTCCATGCGGAA GATCGTCGCCACCTGGATGCTGGAGGTCTGCGAGGAACAGAAGTGCGAGG AGGAGGTCTTCCCGCTGGCCATGAACTACCTGGACCGCTTCCTGTCGCTG GAGCCCGTGAAAAAGAGCCGCCTGCAGCTGCTGGGGGCCACTTGCATGTT CGTGGCCTCTAAGATGAAGGAGACCATCCCCCTGACGGCCGAGAAGCTGT GCATCTACACCGACAACTCCATCCGGCCCGAGGAGCTGCTGCAAATGGAG CTGCTCCTGGTGAACAAGCTCAAGTGGAACCTGGCCGCAATGACCCCGCA CGATTTCATTGAACACTTCCTCTCCAAAATGCCAGAGGCGGAGGAGAACA AACAGATCATCCGCAAACACGCGCAG ACCTTCGTTGCCCTCTGTGCCACA GATGTGAAGTTCATTTCCAATCCGCCCTCCATGGTGGCAGCGGGGAGCGT GGTGGCCGCAGTGCAAGGCCTGAACCTGAGGAGCCCCAACAACTTCCTGT CCTACTACCGCCTCACACGCTTCCTCTCCAGAGTGATCAAGTGTGACCCG GACTGCCTCCGGGCCTGCCAGGAGCAGATCGAAGCCCTGCTGGAGTCAAG CCTGCGCCAGGCCCAGCAGAACATGGACCCCAAGGCCGCCGAGGAGGAGG AAGAGGAGGAGGAGGAGGTGGACCTGGCTTGCACACCCACCGACGTGCGG GACGTGGACATCTGAGGGCGCCAGGCAGGCGGGCGCCACCGCCACCCGCA GCGAGGGCGGAGCCGGCCCCAGGTGCTCCCCTGACAGTCCCTCCTCTCCG GAGCATTTTGATACCAGAAGGGAAAGCTTCATTCTCCTTGTTGTTGGTTG TTTTTTCCTTTGCTCTTTCCCCCTTCCATCTCTGACTTAAGCAAAAGAAA AAGATTACCCAAAAACTGTCTTTAAAAGAGAGAGAGAGAAAAAAAAAATA GTATTTGCATAACCCTGAGCGGTGGGGGAGGAGGGTTGTGCTACAGATGA TAGAGGATTTTATACCCCAATAATCAACTCGTTTTTATATTAATGTACTT GTTTCTCTGTTGTAAGAATAGGCATTAACACAAAGGAGGCGTCTCGGGAG AGGATTAGGTTCCATCCTTTACGTGTTTAAAAAAAAGCATAAAAACATTT TAAAAACATAGAAAAATTCAGCAAACCATTTTTAAAGTAGAAGAGGGTTT TAGGTAGAAAAACATATTCTTGTGCTTTTCCTGATAAAGCACAGCTGTAG TGGGGTTCTAGGCATCTCTGTACTTTGCTTGCTCATATGCATGTAGTCAC TTTATAAGTCATTGTATGTTATTATATTCCGTAGGTAGATGTGTAACCTC TTCACCTTATTCATGGCTGAAGTCACCTCTTGGTTACAGTAGCGTAGCGT GCCCGTGTGCATGTCCTTTGCGCCTGTGACCACCACCCCAACAAACCATC CAGTGACAAACCATCCAGTGGAGGTTTGTCGGGCACCAGCCAGCGTAGCA GGGTCGGGAAAGGCCACCTGTCCCACTCCTACGATACGCTACTATAAAGA GAAGACGAAATAGTGACATAATATATTCTATTTTTATACTCTTCCTATTT TTGTAGTGACCTGTTTATGAGATGCTGGTTTTCTACCCAACGGCCCTGCA GCCAGCTCACGTCCAGGTTCAACCCACAGCTACTTGGTTTGTGTTCTTCT TCATATTCTAAAACCATTCCATTTCCAAGCACTTTCAGTCCAATAGGTGT AGGAAATAGCGCTGTTTTTGTTGTGTGTGCAGGGAGGGCAGTTTTCTAAT GGAATGGTTTGGGAATATCCATGTACTTGTTTGCAAGCAGGACTTTGAGG CAAGTGTGGGCCACTGTGGTGGCAGTGGAGGTGGGGTGTTTGGGAGGCTG CGTGCCAGTCAAGAAGAAAAAGGTTTGCATTCTCACATTGCCAGGATGAT AAGTTCCTTTCCTTTTCTTTAAAGAAGTTGAAGTTTAGGAATCCTTTGGT GCCAACTGGTGTTTGAAAGTAGGGACCTCAGAGGTTTACCTAGAGAACAG GTGGTTTTTAAGGGTTATCTTAGATGTTTCACACCGGAAGGTTTTTAAAC ACTAAAATATATAATTTATAGTTAAGGCTAAAAAGTATATTTATTGCAGA GGATGTTCATAAGGCCAGTATGATTTATAAATGCAATCTCCCCTTGATTT AAACACACAGATACACACACACACACACACACACACAAACCTTCTGCCTT TGATGTTACAGATTTAATACAGTTTATTTTTAAAGATAGATCCTTTTATA GGTGAGAAAAAAACAATCTGGAAGAAAAAAACCACACAAAGACATTGATT CAGCCTGTTTGGCGTTTCCCAGAGTCATCTGATTGGACAGGCATGGGTGC AAGGAAAATTAGGGTACTCAACCTAAGTTCGGTTCCGATGAATTCTTATC CCCTGCCCCTTCCTTTAAAAAACTTAGTGACAAAATAGACAATTTGCACA TCTTGGCTATGTAATTCTTGTAATTTTTATTTAGGAAGTGTTGAAGGGAG GTGGCAAGAGTGTGGAGGCTGACGTGTGAGGGAGGACAGGCGGGAGGAGG TGTGAGGAGGAGGCTCCCGAGGGGAAGGGGCGGTGCCCACACCGGGGACA GGCCGCAGCTCCATTTTCTTATTGCGCTGCTACCGTTGACTTCCAGGCAC GGTTTGGAAATATTCACATCGCTTCTGTGTATCTCTTTCACATTGTTTGC TGCTATTGGAGGATCAGTTTTTTGTTTTACAATGTCATATACTGCCATGT ACTAGTTTTAGTTTTCTCTTAGAACATTGTATTACAGATGCCTTTTTTGT AGTTTTTTTTTTTTTTATGTGATCAATTTTGACTTAATGTGATTACTGCT CTATTCCAAAAAGGTTGCTGTTTCACAATACCTCATGCTTCACTTAGCCA TGGTGGACCCAGCGGGCAGGTTCTGCCTGCTTTGGCGGGCAGACACGCGG GCGCGATCCCACACAGGCTGGCGGGGGCCGGCCCCGAGGCCGCGTGCGTG AGAACCGCGCCGGTGTCCCCAGAGACCAGGCTGTGTCCCTCTTCTCTTCC CTGCGCCTGTGATGCTGGGCACTTCATCTGATCGGGGGCGTAGCATCATA GTAGTTTTTACAGCTGTGTTATTCTTTGCGTGTAGCTATGGAAGTTGCAT AATTATTATTATTATTATTATAACAAGTGTGTCTTACGTGCCACCACGGC GTTGTACCTGTAGGACTCTCATTCGGGATGATTGGAATAGCTTCTGGAAT TTGTTCAAGTTTTGGGTATGTTTAATCTGTTATGTACTAGTGTTCTGTTT GTTATTGTTTTGTTAATTACACCATAATGCTAATTTAAAGAGACTCCAAA TCTCAATGAAGCCAGCTCACAGTGCTGTGTGCCCCGGTCACCTAGCAAGC TGCCGAACCAAAAGAATTTGCACCCCGCTGCGGGCCCACGTGGTTGGGGC CCTGCCCTGGCAGGGTCATCCTGTGCTCGGAGGCCATCTCGGGCACAGGC CCACCCCGCCCCACCCCTCCAGAACACGGCTCACGCTTACCTCAACCATC CTGGCTGCGGCGTCTGTCTGAACCACGCGGGGGCCTTGAGGGACGCTTTG TCTGTCGTGATGGGGCAAGGGCACAAGTCCTGGATGTTGTGTGTATCGAG AGGCCAAAGGCTGGTGGCAAGTGCACGGGGCACAGCGGAGTCTGTCCTGT GACGCGCAAGTCTGAGGGTCTGGGCGGCGGGCGGCTGGGTCTGTGCATTT CTGGTTGCACCGCGGCGCTTCCCAGCACCAACATGTAACCGGCATGTTTC CAGCAGAAGACAAAAAGACAAACATGAAAGTCTAGAAATAAAACTGGTAA AACCCCA

As used herein the term “LMO2” has its general meaning in the art and refers to LIM domain only 2 (rhombotin-like 1) gene. A typical cDNA sequence of LMO2 is represented by SEQ ID NO:5.

(LMO2_homo sapiens) SEQ ID NO: 5  GAATTCGTCCAAACTGAGGATCACAAGTCTCCACATTCTGAGTAGGAGGA TGAGGGTCTGAGTTAGGATTTGGGTCCTGCAGGGCTTGCTAAGGAATCCC CTGATGGCCTAGGATTCCACGCAGAGCACATCTGGTGTGAGAGAGCTCGC TGCAAGGGTGAAGGCTCCGCCCTATCAGATAGACAACCAGGCCACCAAGA GGCCCAGCCCTCCAAACCCTGGATTTGCAACATCCTCAAAGAACAGCAAC GGGCCTTGAGCAGAATTGAGAAGGAAATACCCCCACCTGCCCTCAGCCGT TAAGTGGGCTTTGCTATTCACAAGGGCCTCTGGGTGTCCTGGCAGAGAGG GGAGATGGCACAGGCACCAGGTGCTAGGGTGCCAGGGCCTCCCGAGAAGG AACAGGTGCAAAGCAGGCAATTAGCCCAGAAGGTATCCGTGGGGCAGGCA GCCTAGATCTGATGGGGGAAGCCACCAGGATTACATCATCTGCTGTAACA ACTGCTCTGAAAAGAAGATATTTTTCAACCTGAACTTGCAGTAGCTAGTG GAGAGGCAGGAAAAAGGAAATGAAACCAGAGACAGAGGGAAGCTGAGCGA AAATAGACCTTCCCGAGAGAGGAGGAAGCCCGGAGAGAGACGCACGGTCC CCTCCCCGCCCCTAGGCCGCCGCCCCCTCTCTGCCCTCGGCGGCGAGCAG CGCGCCGCGACCCGGGCCGAAGGTGCGAGGGGCTCCGGGCGGCCGGGCGG GCGCACACCATCCCCGCGGGCGGCGCGGAGCCGGCGACAGCGCGCGAGAG GGACCGGGCGGTGGCGGCGGCGGGACCGGGATGGAAGGGAGCGCGGTGAC TGTCCTTGAGCGCGGAGGGGCGAGCTCGCCGGCGGAGCGCCGGAGCAAGC GGAGGCGCAGGAGCGGCGGCGACGGCGGCGGCGGCGGCGGCGCCCGAGCA CCCGAGGGGGTCCGAGCCCCGGCAGCCGGCCAGCCCCGCGCCACAAAGGG AGCGCCCCCGCCGCCCGGCACCCCGCCTCCCTCCCCAATGTCCTCGGCCA TCGAAAGGAAGAGCCTGGACCCTTCAGAGGAACCAGTGGATGAGGTGCTG CAGATCCCCCCATCCCTGCTGACATGCGGCGGCTGCCAGCAGAACATTGG GGACCGCTACTTCCTGAAGGCCATCGACCAGTACTGGCACGAGGACTGCC TGAGCTGCGACCTCTGTGGCTGCCGGCTGGGTGAGGTGGGGCGGCGCCTC TACTACAAACTGGGC CGGAAGCTCTGCCGGAGAGACTATCTCAGGCTTTT TGGGCAAGACGGTCTCTGCGCATCCTGTGACAAGCGGATTCGTGCCTATG AGATGACAATGCGGGTGAAAGACAAAGTGTATCACCTGGAATGTTTCAAA TGCGCCGCCTGTCAGAAGCATTTCTGTGTAGGTGACAGATACCTCCTCAT CAACTCTGACATAGTGTGCGAACAGGACATCTACGAGTGGACTAAGATCA ATGGGATGATATAGGCCCGAGTCCCCGGGCATCTTTGGGGAGGTGTTCAC TGAAGACGCCGTCTCCATGGCATCTTCGTCTTCACTCTTAGGCACTTTGG GGGTTTGAGGGTGGGGTAAGGGATTTCTTAGGGGATGGTAGACCTTTATT GGGTATCAAGACATAGCATCCAAGTGGCATAATTCAGGGGCTGACACTTC AAGGTGACAGAAGGACCAGCCCTTGAGGGAGAACTTATGGCCACAGCCCA TCCATAGTAACTGACATGATTAGCAGAAGAAAGGAACATTTAGGGGCAAG CAGGCGCTGTGCTATCATGATGGAATTTCATATCTACAGATAGAGAGTTG TTGTGTACAGACTTGTTGTGACTTTGACGCTTGCGAACTAGAGATGTGCA ATTGATTTCTTTTCTTCCTGGCTTTTTAACTCCCCTGTTTCAATCACTGT CCTCCACACAAGGGAAGGACAGAAAGGAGAGTGGCCATTCTTTTTTTCTT GGCCCCCTTCCCAAGGCCTTAAGCTTTGGACCCAAGGAAAACTGCATGGA GACGCATTTCGGTTGAGAATGGAAACCACAACTTTTAACCAAACAATTAT TTAAAGCAATGCTGATGAATCACTGTTTTTAGACACCTTCATTTTGAGGG GAGGAGTTCCACAGATTGTTTCTATACAAATATAAATCTTAAAAAGTTGT TCAACTATTTTATTATCCTAGATTATATCAAAGTATTTGTCGTGTGTAGA AAAAAAAACAGCTCTGCAGGCTTAATAAAAATGACAGACTGAAA

As used herein the term “FOXP1” has its general meaning in the art and refers to forkhead box P1 gene. A typical cDNA sequence of FOXP1 is represented by SEQ ID NO:6.

(FOXP1_homo sapiens) SEQ ID NO: 6  GGGGGGTGGGCGCCAGCGCCCCGGCGAACGGCAAAGAGGGAGCCGCTCCC GCTCGGGGGGCCGCTGGAGTGCCCAGCGGGAACCCGAAAGTTTGTAAGAG GAAGAGAGCGCGCGGCGAGCGAGCGAGCGGGCCGGGGGCAGCGGCAGCGG CGCCGGGGACCATGGTGCTGCCGGCGCCTCCTCCGCGGGCGTGAAGGCGG CGCTCCTACTCCCTCCCCGGACTCCGCGGTGTCCCAGAAGCTTTTGTTGA CAATTCCAGTTTCCGAACAAAACATTTCGGCAATGGTGAGGGCTTCGATC CCTTCTCTGATTTGCTGTCAGCCATGAACGGATGGATGTGATGCCTGCTA GCCAAAAGGCTTCCCTCTGTGTGTTGCAGTCCTGTGGCATTATGCATGCC CCCTCCCAGTGACCCCAGGCTTTTTATGGCTGTGAGACACGTTAAAATTT CAGGGGTAAGACGTGACCTTTTGAGGTGACTATAACTGAAGATTGCTTTA CAGAAGCCAAAAAAGGTTTTTGAGTCATGATGCAAGAATCTGGGACTGAG ACAAAAAGTAACGGTTCAGCCATCCAGAATGGGTCGGGCGGCAGCAACCA CTTACTAGAGTGCGGCGGTCTTCGGGAGGGGCGGTCCAACGGAGAGACGC CGGCCGTGGACATCGGGGCAGCTGACCTCGCCCACGCCCAGCAGCAGCAG CAACAGGCACTTCAGGTGGCAAGACAGCTCCTTCTTCAGCAGCAACAGCA GCAGCAAGTTAGTGGATTAAAATCTCCCAAGAGGAATGACAAACAACCAG CTCTTCAGGTTCCCGTGTCAGTGGCTATGATGACACCTCAAGTTATCACT CCCCAGCAAATGCAGCAGATCCTCCAGCAACAAGTGCTGAGCCCTCAGCA GCTCCAGGTTCTCCTCCAGCAGCAGCAGGCCCTCATGCTTCAACAGCAGC AGCTTCAAGAGTTTTATAAAAAACAACAGGAACAGTTGCAGCTTCAACTT TTACAACAACAACATGCTGGAAAACAGCCTAAAGAGCAACAGCAGGTGGC TACCCAGCAGTTGGCTTTTCAGCAGCAGCTTTTACAGATGCAGCAGTTAC AGCAGCAGCACCTCCTGTCTTTGCAGCGCCAAGGCCTTCTGACAATTCAG CCCGGGCAGCCTG CCCTTCCCCTTCAACCTCTTGCTCAAGGCATGATTCC AACAGAACTGCAGCAGCTCTGGAAAGAAGTGACAAGTGCTCATACTGCAG AAGAAACCACAGGCAACAATCACAGCAGTTTGGATCTGACCACGACATGT GTCTCCTCCTCTGCACCTTCCAAGACCTCCTTAATAATGAACCCACATGC CTCTACCAATGGACAGCTCTCAGTCCACACTCCCAAAAGGGAAAGTTTGT CCCATGAGGAGCACCCCCATAGCCATCCTCTCTATGGACATGGTGTATGC AAGTGGCCAGGCTGTGAAGCAGTGTGCGAAGATTTCCAATCATTTCTAAA ACATCTCAACAGTGAGCATGCGCTGGACGATAGAAGTACAGCCCAATGTA GAGTACAAATGCAGGTTGTACAGCAGTTAGAGCTACAGCTTGCAAAAGAC AAAGAACGCCTGCAAGCCATGATGACCCACCTGCATGTGAAGTCTACAGA ACCCAAAGCCGCCCCTCAGCCCTTGAATCTGGTATCAAGTGTCACTCTCT CCAAGTCCGCATCGGAGGCTTCTCCACAGAGCTTACCTCATACTCCAACG ACCCCAACCGCCCCCCTGACTCCCGTCACCCAAGGCCCCTCTGTCATCAC AACCACCAGCATGCACACGGTGGGACCCATCCGCAGGCGGTACTCAGACA AATACAACGTGCCCATTTCGTCAGCAGATATTGCGCAGAACCAAGAATTT TATAAGAACGCAGAAGTTAGACCACCATTTACATATGCATCTTTAATTAG GCAGGCCATTCTCGAATCTCCAGAAAAGCAGCTAACACTAAATGAGATCT ATAACTGGTTCACACGAATGTTTGCTTACTTCCGACGCAACGCGGCCACG TGGAAGAATGCAGTGCGTCATAATCTTAGTCTTCACAAGTGTTTTGTGCG AGTAGAAAACGTTAAAGGGGCAGTATGGACAGTGGATGAAGTAGAATTCC AAAAACGAAGGCCACAAAAGATCAGTGGTAACCCTTCCCTTATTAAAAAC ATGCAGAGCAGCCACGCCTACTGCACACCTCTCAATGCAGCTTTACAGGC TTCAATGGCTGAGAATAGTATACCTCTATACACTACCGCTTCCATGGGAA ATCCCACTCTGGGCAACTTAGCCAGCGCAATACGGGAAGAGCTGAACGGG GCAATGGAGCATACCAACAGCAACGAGAGTGACAGCAGTCCAGGCAGATC TCCTATGCAAGCCGTGCATCCTGTACACGTCAAAGAAGAGCCCCTCGATC CAGAGGAAGCTGAAGGGCCCCTGTCCTTAGTGACAACAGCCAACCACAGT CCAGATTTTGACCATGACAGAGATTACGAAGATGAACCAGTAAACGAGGA CATGGAGTGACTATCGGGGCGGGCCAACCCCGAGAATGAAGATTGGAAGG AAAAAAAAAAAAAAAACACGTCAAAAGTTAGCAGTGAAATTGTTCTCCAT TTGTTGTACAGTCTGGAGGATTTTCACTACGTTTTGACAACTCTGAAATG TGTTAACTCTTAGTGCCATCAAGAACCCCATTTGGGAGTATTTTTGATTT TTCTACTTTTTGTTGAAAAAAGGAATTTGTACTCTGTGCATTGGATGGAC TTGTTTGGTACTTGGGATTTTCCTCTCTTAACCGTCAACATCAGTGTTGT AAATTTGCTAAACTGATTCACTTTTAGCAGCAGACTTTGAACTGCAGTCC TGCCAACGTTGGACACTGAGGACGCCCGACAGAGCTTGTGCACCTAAGCT GCAGACCAAGCCTTTGCCCAGAATTTAAGGATTCCAATGGACGACCTATT TGCACAGTACTGCATGTTGATTATCACTGCCTTTACTCCTTTTTTTTTTT TTTTTTTTTTTTTTTTTTTGCTTCCAGTTGGGATGGGGAAGGCCTTTGTG TGTGTATTGGGGGGAGGGGTTAAAAAATAATTATCCCAAACTTTTTAATG TATTGCTTTTTTTTTTTTTTTTTTTCCTTCTACTATACCATTTTAAGTTC TGACCTCAGGCCTCCATTTGGGCCGATGGCCTCTTGGAGGCTTAAAGTTT TCTGTACCTTGTGATGAATGTTAATAGGTGTTTTTATTATACAAAGCTGA ATGTCATTTCTCGTTTGTAGCTTTCTGTCACTCATTCCATCTTCCTTCAG ACATCACCACGTTTCTCTAAAGTCAGAAAACATTCCGTTTTGGTCTTTTT CAAAAAGGTCCCAAATGCTGCACTCTACACATGAAGGCCCTCTCACACAG ACGTGACGTCCTGCCAGAAAGAGAATGAATGACAGAAAAAAAAAAGAGAG ACAAACTCTAGGAACAATGCCGATTCATTCCACGCAGCAGTATTGGGGGT GGTTCGGGGGAGGGGTGTTTCGGATTTTCTTTTTTTCTTTTCTTTTCTTT TTTTTTTTTTGCAGCAACCATTAATAAATGCCACCACATTCTACCAGCAC AAGGAAACATAGGCAGCACTGAAAAAAAAAAAAAAGCTCATATTAATTAG ACTGACAATATGGCCTTGGAAGGCTCTCCCTTGTGGAACCAAGTTGCCAT GGGCCTTGGGTGCTCTGCGATAACGGGTGTGGGTTGGTTTTGTTTGCAAA ATGGCCAAAAAAAAAAACCGGCTTCCCCGAGCAGCTGCCCTGAAAGTAGG GGTGGCGGCGGCGGCGCTGAGTTTATACATTAGTTCAGACCTACTTGGTG GCATTAAACTGTTTGAATGCAAATTCGATTTCAGATTGAACTTGTTAAGG GAGTTAACGAGGGCTGAGTTCAGCAAATGCTAAAGTGTTAATTTCAAATA TGCAAATTTGGTACTGCAGTTTGTTATGCAATATTATATCACCAACCCAG TATCACAAAAACTCATAGAAGATATCATGTAGGCCCTGGGCTTTGGGGGG GTCCCAAACATGGTATGCAGAAATGTGATGGTTACAGGTCAGTACAACCT CAGTCCTTAGAACCCCTCCACACTTCAGCTCTGCACCCACTTTCCTGTCA TTTATTTATATAGGACTGTAGTTTTTTTTAGTTCGAGAGCCTTTCGAAGC TTAATTTATATTCTTTCTTTGTACCTTTTTTCTAAAATTACCAAAGATAT TACACAAAGGTAAATTATGTTCTCTGTTTTATGCTTTATCTGATGAAGCC AAATATCCTCTTATTGTTGATCAAAGGAGGCAAAAGAATTTAGAGGCAAA TGACAAGCGATAGGCTATTGCAACCTGAGAAAGAGAACTGCTCCTTCATC GTAAATTTAGAAGACCAAGTAGATAATGGAACCAAAGTTGTTACTTTTTT CTAGTAGTTATTTTTCCTTTTTCTTTTTGTGTACCTCTACAGAGACCAAA ACTCATTCTCTTAAAGAGATTTTATGGGGCTACTGCAGATAAAAATAGGA CACAATATTAAAGGAGCTACAGAAGGAAGGGAGTCCCATCTCAAAAAAAA AATGAATGTATGCCACTGCAATTAGAGTATCCAATAAAGGAGACAGTTTA GAGTCAGGACAGAAAAGCTTCCATAATTGAACTAGATTACATAATAGTAT TTCTAGAAAAAGAGATATTTTTAGATTGTATGCCACTTTTGTTTAAGAAC TGTGCTGTGATCACTGTATTAATTTTGGTTTATCTTGGCATATATCCTTC AGTTTGTTTTTATTTTTAATTTTTCCTTTTTTTCCGATTAGGCTTTGGTC AGCATTTTTCATTTAAAGAAAAGTAACACTCCCATCCACTCATAAGCTTG GTACAAAAACTTCTCTGGCAGTTACTTTTGAAGCTTCACTCTGCTTTCTG TATAAAGGGCAGTCTGTGGTCACGCAAGACTTTAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAACTTTTCCAGGCAGCTTCATGATGTGC AGGCAGTAGCCAGACAGGGTCATGGGAAGGGGGCCCTGTGCTTCTAAACT GAGTGGTTGCTGGTTAGTTTGGTATTCAAAAGAGGATAAAAATCTGGTAG ATTAGTTCATTCTCAGCATGTGTAGCTAGACATGAGTAAAGATAACAGCA TGAGAAACTGTTAGTACGCATACCTCAGTTCAAACCTTTAGGGAATGATT AAAATTTAAAAAAAAAACATTTCACTCAGTTGCACTTAGTCGTATGTCTT GCATGCTTAGTCTAAAGACTGTAGCAAAAAAAAAAAAAAAAGAAAAATTA GATTTTACATATCTTTGCAGGTATCACAGCCTTGCAGAAGAACCAACTGA AAAAAAAATTCTCAGGCTTTACAGCAAGCAAACTTCACTATGATTTTTAC AATTCTGATTCTGTATCCCCTGGGGGTTATCCCAGTTGCTTCTTTAGGAT GGGGTTTATTACGTTGTACATATATCCCGATGTGTCTGTGTGAATCTTTG TCTTTTTTGGGGGAGGGCAGAGGGCGGTTCTTTTTTTAGATATTGTTCCT AAAAAGGAATAAATGCATACACCTGTTTGTCAAAACACCTTTGCTTTTTG TGCAACTGCTTTATATTAACGATACTAAAAAAAAATAGCTTTGGAAAAAA AACTACTGTATGTAACGGAATTGCAGAATATGCTGCACATGTATTTTATT TAGTTATCCTTGCTTTAAGAATATTGGATGACATTTCCTGACATGTGGGA GGGAGAAACTCCCTAACTTTTTTTTTCTGCTTTTAAACTGTAACATAGTT GAAGATTTCTTTTTTCTGTTCTCATTGATTGGAGCATTTTGTACAGGTTT TGTGTGTGTGTGTGTGTGTGTGTGCGCGCGTGCGTGTGTGTTAATCTGTT TTTTGATACATTCCTATCCCTTGTGTTTATCCTACCACTGCCTTCCTGGC TATCTTAAACAAGTTCATACATTTGAAAAGAAAAAAAAATGTTGTTTAAA AATGTTTTCTCCTGCTGCAGTAAATATTTTGCATGATGAAATTCCAGGGT CACACTTTTCCAAGTTTATCAGTGAAGTAGTGATTAACAATGGGGAGTGT CAAAACTATTGAACTTTTGTATAAAAAAAAAAAAACTTTACAAGGTGCCA AGATGTAAAGAAAATCTGTTACTTTTTTTTTCTCAAAGAAAAGCATACAT TAGGGAGGTAGTCCCGTGTGTCAGACAAATGCACTGTCAGGAATGAGGAT CCAACCTACCTGTCCCTAGAGTCCGTCTTGTAAGATGAGTTAGGCTGCCC CTTGGACCAGCCACAAAATGGAATATCAAGGCTTATGTACATACGTGAAG AGTTACCACCAGTCCTGCCACCTTTGGACAGCTCTAACACCATCCCCAGC ATCCAGTCAGACCTAGTAAAGAAAACCTTGGATTCTTAACCCAAGATAGG CTGTAAATCACTAGCTTTTTTTTCCTCATGAAAAAAAATAGAGTTAAAAA ATATTTCCTCTCTTTTCCATATTCCAGCTGAACTCCGTTTCCAAAGGCAC AAAGAAGAGTGTGCTTATTCAGATTTTGAATCTTTTTGGTACCTTTTGGT TAATGACATAGCCTCCTGAAATTCTGGATGTCTTCAAAGTCAGTTTTGCT TCTTTATCCTGAAAATCAGATTTACAATGCTGAAGGCATTTCTTGGGCCC AGTGTAGCTCACGCAATCTCTGCTACCCATAAGCCTTGATGAAGATGATA CAGTCCGGACTGTGAGCATGGTGCTTCATGTATATGTGCTGCCAGTAACA AGAATTTTTTTGTTTTGTTTTGTTTTGTTTTGATAAGGCATAAAAGAAAC TCATTCCTTGACATCAACTGTAATTCCATCATTCCATGTCTGCGGATACA GACAATAAAAAAAATGTTGTGTAGTCAGTACTAATTACTGACATTATAAG CATTCTCAAATGCAATAAAAATGCTGGTTGTTCACGCTGGTAGTAAAAGT TGCCACAGCCTAA

As used herein the term “TNFRSF9” has its general meaning in the art and refers to tumor necrosis factor receptor superfamily, member 9 gene. A typical cDNA sequence of TNFRSF9 is represented by SEQ ID NO:7.

(TNFRSF9_homo sapiens) SEQ ID NO: 7  GTGTTTGACCTGAAGTCCTCTCGAGCTGCAGAAGCCTGAAGACCAAGGAG TGGAAAGTTCTCCGGCAGCCCTGAGATCTCAAGAGTGACATTTGTGAGAC CAGCTAATTTGATTAAAATTCTCTTGGAATCAGCTTTGCTAGTATCATAC CTGTGCCAGATTTCATCATGGGAAACAGCTGTTACAACATAGTAGCCACT CTGTTGCTGGTCCTCAACTTTGAGAGGACAAGATCATTGCAGGATCCTTG TAGTAACTGCCCAGCTGGTACATTCTGTGATAATAACAGGAATCAGATTT GCAGTCCCTGTCCTCCAAATAGTTTCTCCAGCGCAGGTGGACAAA GGACC TGTGACATATGCAGGCAGTGTAAAGGTGTTTTCAGGACCAGGAAGGAGTG TTCCTCCACCAGCAATGCAGAGTGTGACTGCACTCCAGGGTTTCACTGCC TGGGGGCAGGATGCAGCATGTGTGAACAGGATTGTAAACAAGGTCAAGAA CTGACAAAAAAAGGTTGTAAAGACTGTTGCTTTGGGACATTTAACGATCA GAAACGTGGCATCTGTCGACCCTGGACAAACTGTTCTTTGGATGGAAAGT CTGTGCTTGTGAATGGGACGAAGGAGAGGGACGTGGTCTGTGGACCATCT CCAGCCGACCTCTCTCCGGGAGCATCCTCTGTGACCCCGCCTGCCCCTGC GAGAGAGCCAGGACACTCTCCGCAGATCATCTCCTTCTTTCTTGCGCTGA CGTCGACTGCGTTGCTCTTCCTGCTGTTCTTCCTCACGCTCCGTTTCTCT GTTGTTAAACGGGGCAGAAAGAAACTCCTGTATATATTCAAACAACCATT TATGAGACCAGTACAAACTACTCAAGAGGAAGATGGCTGTAGCTGCCGAT TTCCAGAAGAAGAAGAAGGAGGATGTGAACTGTGAAATGGAAGTCAATAG GGCTGTTGGGACTTTCTTGAAAAGAAGCAAGGAAATATGAGTCATCCGCT ATCACAGCTTTCAAAAGCAAGAACACCATCCTACATAATACCCAGGATTC CCCCAACACACGTTCTTTTCTAAATGCCAATGAGTTGGCCTTTAAAAATG CACCACTTTTTTTTTTTTTTTGACAGGGTCTCACTCTGTCACCCAGGCTG GAGTGCAGTGGCACCACCATGGCTCTCTGCAGCCTTGACCTCTGGGAGCT CAAGTGATCCTCCTGCCTCAGTCTCCTGAGTAGCTGGAACTACAAGGAAG GGCCACCACACCTGACTAACTTTTTTGTTTTTTGTTTGGTAAAGATGGCA TTTCACCATGTTGTACAGGCTGGTCTCAAACTCCTAGGTTCACTTTGGCC TCCCAAAGTGCTGGGATTACAGACATGAACTGCCAGGCCCGGCCAAAATA ATGCACCACTTTTAACAGAACAGACAGATGAGGACAGAGCTGGTGATAAA AAAAAAAAAAAAAAAGCATTTTCTAGATACCACTTAACAGGTTTGAGCTA GTTTTTTTGAAATCCAAAGAAAATTATAGTTTAAATTCAATTACATAGTC CAGTGGTCCAACTATAATTATAATCAAAATCAATGCAGGTTTGTTTTTTG GTGCTAATATGACATATGACAATAAGCCACGAGGTGCAGTAAGTACCCGA CTAAAGTTTCCGTGGGTTCTGTCATGTAACACGACATGCTCCACCGTCAG GGGGGAGTATGAGCAGAGTGCCTGAGTTTAGGGTCAAGGACAAAAAACCT CAGGCCTGGAGGAAGTTTTGGAAAGAGTTCAAGTGTCTGTATATCCTATG GTCTTCTCCATCCTCACACCTTCTGCCTTTGTCCTGCTCCCTTTTAAGCC AGGTTACATTCTAAAAATTCTTAACTTTTAACATAATATTTTATACCAAA GCCAATAAATGAACTGCATATGA

As used herein the term “BCL6” has its general meaning in the art and refers to B-cell CLL/lymphoma 6 gene. A typical cDNA sequence of BCL6 is represented by SEQ ID NO:8.

(BCL6_homo sapiens) SEQ ID NO: 8  ATACCATCGTCTTGGGCCCGGGGAGGGAGAGCCACCTTCAGGCCCCTCGA GCCTCGAACCGGAACCTCCAAATCCGAGACGCTCTGCTTATGAGGACCTC GAAATATGCCGGCCAGTGAAAAAATCTTGTGGCTTTGAGGGCTTTTGGTT GGCCAGGGGCAGTAAAAATCTCGGAGAGCTGACACCAAGTCCTCCCCTGC CACGTAGCAGTGGTAAAGTCCGAAGCTCAAATTCCGAGAATTGAGCTCTG TTGATTCTTAGAACTGGGGTTCTTAGAAGTGGTGATGCAAGAAGTTTCTA GGAAAGGCCGGACACCAGGTTTTGAGCAAAATTTTGGACTGTGAAGCAAG GCATTGGTGAAGACAAAATGGCCTCGCCGGCTGACAGCTGTATCCAGTTC ACCCGCCATGCCAGTGATGTTCTTCTCAACCTTAATCGTCTCCGGAGTCG AGACATCTTGACTGATGTTGTCATTGTTGTGAGCCGTGAGCAGTTTAGAG CC CATAAAACGGTCCTCATGGCCTGCAGTGGCCTGTTCTATAGCATCTTT ACAGACCAGTTGAAATGCAACCTTAGTGTGATCAATCTAGATCCTGAGAT CAACCCTGAGGGATTCTGCATCCTCCTGGACTTCATGTACACATCTCGGC TCAATTTGCGGGAGGGCAACATCATGGCTGTGATGGCCACGGCTATGTAC CTGCAGATGGAGCATGTTGTGGACACTTGCCGGAAGTTTATTAAGGCCAG TGAAGCAGAGATGGTTTCTGCCATCAAGCCTCCTCGTGAAGAGTTCCTCA ACAGCCGGATGCTGATGCCCCAAGACATCATGGCCTATCGGGGTCGTGAG GTGGTGGAGAACAACCTGCCACTGAGGAGCGCCCCTGGGTGTGAGAGCAG AGCCTTTGCCCCCAGCCTGTACAGTGGCCTGTCCACACCGCCAGCCTCTT ATTCCATGTACAGCCACCTCCCTGTCAGCAGCCTCCTCTTCTCCGATGAG GAGTTTCGGGATGTCCGGATGCCTGTGGCCAACCCCTTCCCCAAGGAGCG GGCACTCCCATGTGATAGTGCCAGGCCAGTCCCTGGTGAGTACAGCCGGC CGACTTTGGAGGTGTCCCCCAATGTGTGCCACAGCAATATCTATTCACCC AAGGAAACAATCCCAGAAGAGGCACGAAGTGATATGCACTACAGTGTGGC TGAGGGCCTCAAACCTGCTGCCCCCTCAGCCCGAAATGCCCCCTACTTCC CTTGTGACAAGGCCAGCAAAGAAGAAGAGAGACCCTCCTCGGAAGATGAG ATTGCCCTGCATTTCGAGCCCCCCAATGCACCCCTGAACCGGAAGGGTCT GGTTAGTCCACAGAGCCCCCAGAAATCTGACTGCCAGCCCAACTCGCCCA CAGAGTCCTGCAGCAGTAAGAATGCCTGCATCCTCCAGGCTTCTGGCTCC CCTCCAGCCAAGAGCCCCACTGACCCCAAAGCCTGCAACTGGAAGAAATA CAAGTTCATCGTGCTCAACAGCCTCAACCAGAATGCCAAACCAGAGGGGC CTGAGCAGGCTGAGCTGGGCCGCCTTTCCCCACGAGCCTACACGGCCCCA CCTGCCTGCCAGCCACCCATGGAGCCTGAGAACCTTGACCTCCAGTCCCC AACCAAGCTGAGTGCCAGCGGGGAGGACTCCACCATCCCACAAGCCAGCC GGCTCAATAACATCGTTAACAGGTCCATGACGGGCTCTCCCCGCAGCAGC AGCGAGAGCCACTCACCACTCTACATGCACCCCCCGAAGTGCACGTCCTG CGGCTCTCAGTCCCCACAGCATGCAGAGATGTGCCTCCACACCGCTGGCC CCACGTTCCCTGAGGAGATGGGAGAGACCCAGTCTGAGTACTCAGATTCT AGCTGTGAGAACGGGGCCTTCTTCTGCAATGAGTGTGACTGCCGCTTCTC TGAGGAGGCCTCACTCAAGAGGCACACGCTGCAGACCCACAGTGACAAAC CCTACAAGTGTGACCGCTGCCAGGCCTCCTTCCGCTACAAGGGCAACCTC GCCAGCCACAAGACCGTCCATACCGGTGAGAAACCCTATCGTTGCAACAT CTGTGGGGCCCAGTTCAACCGGCCAGCCAACCTGAAAACCCACACTCGAA TTCACTCTGGAGAGAAGCCCTACAAATGCGAAACCTGCGGAGCCAGATTT GTACAGGTGGCCCACCTCCGTGCCCATGTGCTTATCCACACTGGTGAGAA GCCCTATCCCTGTGAAATCTGTGGCACCCGTTTCCGGCACCTTCAGACTC TGAAGAGCCACCTGCGAATCCACACAGGAGAGAAACCTTACCATTGTGAG AAGTGTAACCTGCATTTCCGTCACAAAAGCCAGCTGCGACTTCACTTGCG CCAGAAGCATGGCGCCATCACCAACACCAAGGTGCAATACCGCGTGTCAG CCACTGACCTGCCTCCGGAGCTCCCCAAAGCCTGCTGAAGCATGGAGTGT TGATGCTTTCGTCTCCAGCCCCTTCTCAGAATCTACCCAAAGGATACTGT AACACTTTACAATGTTCATCCCATGATGTAGTGCCTCTTTCATCCACTAG TGCAAATCATAGCTGGGGGTTGGGGGTGGTGGGGGTCGGGGCCTGGGGGA CTGGGAGCCGCAGCAGCTCCCCCTCCCCCACTGCCATAAAACATTAAGAA AATCATATTGCTTCTTCTCCTATGTGTAAGGTGAACCATGTCAGCAAAAA GCAAAATCATTTTATATGTCAAAGCAGGGGAGTATGCAAAAGTTCTGACT TGACTTTAGTCTGCAAAATGAGGAATGTATATGTTTTGTGGGAACAGATG TTTCTTTTGTATGTAAATGTGCATTCTTTTAAAAGACAAGACTTCAGTAT GTTGTCAAAGAGAGGGCTTTAATTTTTTTAACCAAAGGTGAAGGAATATA TGGCAGAGTTGTAAATATATAAATATATATATATATAAAATAAATATATA TAAACCTAAAAAAGATATATTAAAAATATAAAACTGCGTTAAAGGCTCGA TTTTGTATCTGCAGGCAGACACGGATCTGAGAATCTTTATTGAGAAAGAG CACTTAAGAGAATATTTTAAGTATTGCATCTGTATAAGTAAGAAAATATT TTGTCTAAAATGCCTCAGTGTATTTGTATTTTTTTGCAAGTGAAGGTTTA CAATTTACAAAGTGTGTATTAAAAAAAACAAAAAGAACAAAAAAATCTGC AGAAGGAAAAATGTGTAATTTTGTTCTAGTTTTCAGTTTGTATATACCCG TACAACGTGTCCTCACGGTGCCTTTTTTCACGGAAGTTTTCAATGATGGG CGAGCGTGCACCATCCCTTTTTGAAGTGTAGGCAGACACAGGGACTTGAA GTTGTTACTAACTAAACTCTCTTTGGGAATGTTTGTCTCATCCCATTCTG CGTCATGCTTGTGTTATAACTACTCCGGAGACAGGGTTTGGCTGTGTCTA AACTGCATTACCGCGTTGTAAAATATAGCTGTACAAATATAAGAATAAAA TGTTGAAAAGTCAAACTGG

As used herein the term “TNFRSF13B” has its general meaning in the art and refers to tumor necrosis factor receptor superfamily, member 13B gene. A typical cDNA sequence of TNFRSF13B is represented by SEQ ID NO:9. TNFRSF13B is also known as TACI.

(TNFRSF13B_homo sapiens) SEQ ID NO: 9  AGCATCCTGAGTAATGAGTGGCCTGGGCCGGAGCAGGCGAGGTGGCCGGA GCCGTGTGGACCAGGAGGAGCGCTTTCCACAGGGCCTGTGGACGGGGGTG GCTATGAGATCCTGCCCCGAAGAGCAGTACTGGGATCCTCTGCTGGGTAC CTGCATGTCCTGCAAAACCATTTGCAACCATCAGAGCCA GCGCACCTGTG CAGCCTTCTGCAGGTCACTCAGCTGCCGCAAGGAGCAAGGCAAGTTCTAT GACCATCTCCTGAGGGACTGCATCAGCTGTGCCTCCATCTGTGGACAGCA CCCTAAGCAATGTGCATACTTCTGTGAGAACAAGCTCAGGAGCCCAGTGA ACCTTCCACCAGAGCTCAGGAGACAGCGGAGTGGAGAAGTTGAAAACAAT TCAGACAACTCGGGAAGGTACCAAGGATTGGAGCACAGAGGCTCAGAAGC AAGTCCAGCTCTCCCGGGGCTGAAGCTGAGTGCAGATCAGGTGGCCCTGG TCTACAGCACGCTGGGGCTCTGCCTGTGTGCCGTCCTCTGCTGCTTCCTG GTGGCGGTGGCCTGCTTCCTCAAGAAGAGGGGGGATCCCTGCTCCTGCCA GCCCCGCTCAAGGCCCCGTCAAAGTCCGGCCAAGTCTTCCCAGGATCACG CGATGGAAGCCGGCAGCCCTGTGAGCACATCCCCCGAGCCAGTGGAGACC TGCAGCTTCTGCTTCCCTGAGTGCAGGGCGCCCACGCAGGAGAGCGCAGT CACGCCTGGGACCCCCGACCCCACTTGTGCTGGAAGGTGGGGGTGCCACA CCAGGACCACAGTCCTGCAGCCTTGCCCACACATCCCAGACAGTGGCCTT GGCATTGTGTGTGTGCCTGCCCAGGAGGGGGGCCCAGGTGCATAAATGGG GGTCAGGGAGGGAAAGGAGGAGGGAGAGAGATGGAGAGGAGGGGAGAGAG AAAGAGAGGTGGGGAGAGGGGAGAGAGATATGAGGAGAGAGAGACAGAGG AGGCAGAGAGGGAGAGAAACAGAGGAGACAGAGAGGGAGAGAGAGACAGA GGGAGAGAGAGACAGAGGGGAAGAGAGGCAGAGAGGGAAAGAGGCAGAGA AGGAAAGAGACAGGCAGAGAAGGAGAGAGGCAGAGAGGGAGAGAGGCAGA GAGGGAGAGAGGCAGAGAGACAGAGAGGGAGAGAGGGACAGAGAGAGATA GAGCAGGAGGTCGGGGCACTCTGAGTCCCAGTTCCCAGTGCAGCTGTAGG TCGTCATCACCTAACCACACGTGCAATAAAGTCCTCGTGCCTGCTGCTCA CAGCCCCCGAGAGCCCCTCCTCCTGGAGAATAAAACCTTTGGCAGCTGCC CTTCCTC

As used herein the term “CCND2” has its general meaning in the art and refers to cyclin D2 gene. A typical cDNA sequence of CCND2 is represented by SEQ ID NO:10.

(CCND2_homo sapiens) SEQ ID NO: 10  AGAGCGAGCAGGGGAGAGCGAGACCAGTTTTAAGGGGAGGACCGGTGCGA GTGAGGCAGCCCCGAGGCTCTGCTCGCCCACCACCCAATCCTCGCCTCCC TTCTGCTCCACCTTCTCTCTCTGCCCTCACCTCTCCCCCGAAAACCCCCT ATTTAGCCAAAGGAAGGAGGTCAGGGGAACGCTCTCCCCTCCCCTTCCAA AAAACAAAAACAGAAAAACCTTTTTCCAGGCCGGGGAAAGCAGGAGGGAG AGGGGCCGCCGGGCTGGCCATGGAGCTGCTGTGCCACGAGGTGGACCCGG TCCGCAGGGCCGTGCGGGACCGCAACCTGCTCCGAGACGACCGCGTCCTG CAGAACCTGCTCACCATCGAGGAGCGCTACCTTCCGCAGTGCTCCTACTT CAAGTGCGTGCAGAAGGACATCCAACCCTACATGCGCAGAATGGTGGCCA CCTGGATGCTGGAGGTCTGTGAGGAACAGAAGTGCGAAGAAGAGGTCTTC CCTCTGGCCATGAATTACCTGGACCGTTTCTTGGCTGGGGTCCCGACTCC GAAGTCCCATCTGCAACTCCTGGGTGCTGTCTGCATGTTCCTGGCCTCCA AACTCAAAGAGACCAGCCCGCTGACCGCGGAGAAGCTGTGCATTTACACC GACAACTCCATCAAGCCTCAGGAGCTGCTGGAGTGGGAACTGGTGGTGCT GGGGAAGTTGAAGTGGAACCTGGCAGCTGTCACTCCTCATGACTTCATTG AGCACATCTTGCGCAAGCTGCCCCAGCAGCGGGAGAAGCTGTCTCTGATC CGCAAGCATGCTCA GACCTTCATTGCTCTGTGTGCCACCGACTTTAAGTT TGCCATGTACCCACCGTCGATGATCGCAACTGGAAGTGTGGGAGCAGCCA TCTGTGGGCTCCAGCAGGATGAGGAAGTGAGCTCGCTCACTTGTGATGCC CTGACTGAGCTGCTGGCTAAGATCACCAACACAGACGTGGATTGTCTCAA AGCTTGCCAGGAGCAGATTGAGGCGGTGCTCCTCAATAGCCTGCAGCAGT ACCGTCAGGACCAACGTGACGGATCCAAGTCGGAGGATGAACTGGACCAA GCCAGCACCCCTACAGACGTGCGGGATATCGACCTGTGAGGATGCCAGTT GGGCCGAAAGAGAGAGACGCGTCCATAATCTGGTCTCTTCTTCTTTCTGG TTGTTTTTGTTCTTTGTGTTTTAGGGTGAAACTTAAAAAAAAAATTCTGC CCCCACCTAGATCATATTTAAAGATCTTTTAGAAGTGAGAGAAAAAGGTC CTACGAAAACGGAATAATAAAAAGCATTTGGTGCCTATTTGAAGTACAGC ATAAGGGAATCCCTTGTATATGCGAACAGTTATTGTTTGATTATGTAAAA GTAATAGTAAAATGCTTACAGGAAAACCTGCAGAGTAGTTAGAGAATATG TATGCCTGCAATATGGGAACAAATTAGAGGAGACTTTTTTTTTTCATGTT ATGAGCTAGCACATACACCCCCTTGTAGTATAATTTCAAGGAACTGTGTA CGCCATTTATGGCATGATTAGATTGCAAAGCAATGAACTCAAGAAGGAAT TGAAATAAGGAGGGACATGATGGGGAAGGAGTACAAAACAATCTCTCAAC ATGATTGAACCATTTGGGATGGAGAAGCACCTTTGCTCTCAGCCACCTGT TACTAAGTCAGGAGTGTAGTTGGATCTCTACATTAATGTCCTCTTGCTGT CTACAGTAGCTGCTACCTAAAAAAAGATGTTTTATTTTGCCAGTTGGACA CAGGTGATTGGCTCCTGGGTTTCATGTTCTGTGACATCCTGCTTCTTCTT CCAAATGCAGTTCATTGCAGACACCACCATATTGCTATCTAATGGGGAAA TGTAGCTATGGGCCATAACCAAAACTCACATGAAACGGAGGCAGATGGAG ACCAAGGGTGGGATCCAGAATGGAGTCTTTTCTGTTATTGTATTTAAAAG GGTAATGTGGCCTTGGCATTTCTTCTTAGAAAAAAACTAATTTTTGGTGC TGATTGGCATGTCTGGTTCACAGTTTAGCATTGTTATAAACCATTCCATT CGAAAAGCACTTTGAAAAATTGTTCCCGAGCGATAGATGGGATGGTTTAT GCAAGTCATGCTGAATACTCCTCCCCTCTTCTCTTTTGCCCCCTCCCTTC CTGCCCCCAGTCTGGGTTACTCTTCGCTTCTGGTATCTGGCGTTCTTTGG TACACAGTTCTGGTGTTCCTACCAGGACTCAAGAGACACCCCTTCCTGCT GACATTCCCATCACAACATTCCTCAGACAAGCCTGTAAACTAAAATCTGT TACCATTCTGATGGCACAGAAGGATCTTAATTCCCATCTCTATACTTCTC CTTTGGACATGGAAAGAAAAGTTATTGCTGGTGCAAAGATAGATGGCTGA ACATCAGGGTGTGGCATTTTGTTCCCTTTTCCGTTTTTTTTTTTTTATTG TTGTTGTTAATTTTATTGCAAAGTTGTATTCAGCGTACTTGAATTTTTCT TCCTCTCCACTTCTTAGAGGCATTCAGTTAGCAAAGAGGTTGGAGCAACA ACTTTTTTTTTTTTTTTTGCACAATTGTAATTGACAGGTAATGAAGCTAT TTGTTAAAATATTTGCCTTTTTAAGTAAAAAAGAAAAATCAGAACAGGGC TATTTGAAGAATTATTTTATACACAGATTCTGCCTTGTTTCATAGTATGA GGGTTGAAGACGGAAAACAATCTAAGGGTCTCTCATTTTTTTAATTTTGT TTTGTTCAGTTTGGTTTTTTTTTTTTTTTGCGCTGCTAAGAAGCTAAAGT CATCCATCCTTATTCACGTTGACAGTACCTAGCTGTAATGTTTCACAGAG TGTGCTGCTATTTTATAAACATTTTTATAATATATTATTTTACTGCTTAA ATTCCAAGTCCTGAAGTAGATGGTTGAGATATGAGTTCTTCGTACTGGAA AAGCCCTTCCGTAGTTTGTTTTCTTCTGGTAGCATATTCATGGTTGTTTT TTTTTTTCTTTTTTGGTTTTTTGGTTTTTTTTTTTTCCTCTGATCACATT CTTCAAAGACGGAGTATTCTTTACCTCAGGTTTACTGGACAAAATCAATA ACTACAAAAGGCAATGATTCACGCTTTTGTTTTCATAATACCTCACAACC GTACAGTTTCTGCTTGGGAGCCCATTCGCATGAGGAATACAGAAGCAGTG TGAGCAGGGCTGACTCCCTCTCAGGTGGAAGGCAGGGCGGTCTCACTCCC AGGGACCTTTTTGGTCATGGAGGCCATCGGGCTCCCAGTTAGACCCTGGT ATCCTCATCATGATGGAAAAAATACATTGAACCAAGGGATCCTCCCTCCC CTTCAAGGCAGACGTTCAGTACAAACATTTATGCGGTAGGCTCAGATGTC GTAATTTGCACTTAGGTACCAGGTGTCAGGAAACAGACTAAAAAGAATTC CACCAGGCTGTTTGGAGATCCTCATCTTGGAGCTTTTTCAAAAGCGGGGC TTCATCTGCAAAGGGCCCTTTCATCTTGAAGTTTTTCCCCTCCGTCTTTC CCCTCCCCTGGCATGGACACCTTGTGTTTAGGATCATCTCTGCAGGTTTC CTAGGTCTGAATCTGCGAGTAGATGAACCTGCAGCAAGCAGCGTTTATGG TGCTTCCTTCTCCCTCCTCTGTCTCAAACTGCGCAGGCAAGCACTATGCA AGCCCAGGCCCTCTGCTGAGCGGTACTAAACGGTCGGGTTTTCAATCACA CTGAATTGGCAGGATAAGAAAAATAGGTCAGATAAGTATGGGATGATAGT TGAAGGGAGGTGAAGAGGCTGCTTCTCTACAGAGGTGAAATTCCAGATGA GTCAGTCTCTTGGGAAGTGTGTTTAGAAGGGTTCAGGACTTTGTGAGTTA GCATGACCCTAAAATTCTAGGGGATTTCTGGTGGGACAATGGGTGGTGAA TTCTGAAGTTTTGGAGAGGGAAGTGGAGCAGCCAGCAAGTAAGCTAGCCA GAGTTTTCTCAAGAGCCAGCTTTGCTCAGCACACTCTCCTGGGCCCCAAG GAGTCCCACGGAATGGGGAAAGCGGGAACCCTGGAGTTCTTGGGAATCTT GGAGCCTAAAGAGAAACCGAGGTGCAAATTCATTTCATGGTGACTGACCC TTGAGCTTAAACAGAAGCAGCAAATGAAAGAACCGGACAAATAAGGAAGG GCACAAGCCTACCCGACTCTATTTACAGTCTGTAACTTTCCACTCTTCCT GTAGTCCCGAGGCCCCTGGGTCCTTCTAGCTTTTCTCTTTCCCATCCTTG GGGCCTTGTGTGATGATGGGTGTGGGGCTGCCGATGGGAAAGTCGGGGGT TGTTAGGCTTTTCTGCCTGCTCCTGCTTAAACACAAGAAGGAATCCTGGA TTTTGCCCTCTCCTTAGCTCTTAGTCTCTTTGGTAGGAGTTTTGTTCCAG AGGAGCTCTCCCCCTTGGATTTGAACTTGCTCTTTTTGTTGTTGTTGTTC TTTCTCTTCTTTTTCTTACCTCCCACTAAAGGGGTTCCAAATTATCCTGG TCTTTTTCTACCTTGTTGTGTTTCTATCTCGTCTTTACTTCCATCTGTTT GTTTTTTTCTCCATCAGTGGGGGCCGAGTTGTTCCCCCAGCCTGCCAAAT TTTGATCCTTCCCCTCTTTTGGCCAAATCCTAGGGGGAAGAAATCCTAGT ATGCCAAAAATATATGCTAAGCATAATTAAACTCCATGCGGGTCCATAAC AGCCAAGAAGCCTGCAGGAGAAAGCCAAGGGCAGTTCCCTCCGCAGAACA CCCCATGCGTGCTGAGAGGCGAGCTCCTTGAAGAAGGGGCTGTTCTTCCA GGAGGCCTTATTTTGAACTGCCTCAGGACCCCACTGGAGAGCACAGCATG CCTTACTACTGGGTCATCCTTGGTCTATGTGCTCTGTACTGGAGGCTCTG TTCTGCCTCTTATCAGCCAGGTCAGGGGCACACATGGCTTAAGTGACAAA GCCAGAGGAGAAGACAACCCTGACAGCATCACGCTGCATCCCATTGCTAG CAGGATTGGCAACTCTTCAGACGGAGCTGCGCTTCCCTGCAGTCTAGCAC CTCTAGGGCCTCTCCAGACTGTGCCCTGGGAGCTCTGGGACTGAAAGGTT AAGAACATAAGGCAGGATCAGATGACTCTCTCCAAGAGGGCAGGGGAATT TTCTCTCCATGGGCCACAGGGGACAGGGCTGGGAGAAGAAATAGACTTGC ACCTTATGTCATGTAAATAATTGATTTTCTAGTTCAAGAAGATAATATTG GTAGTGTGGGAATTGGAGGTAGGAAGGGGAGGAAGTCTGAGTAAGCCAGT TGGCTTCTAAGCCAAAAGGATTCCTCTTTGTTTATCTCTGAGACAGTCCA ACCTTGAGAATAGCTTTAAAAGGGAAATTAATGCTGAGATGATAAAGTCC CCTTAAGCCAACAAACCCTCTGTAGCTATAGAATGAGTGCAGGTTTCTAT TGGTGTGGACTCAGAGCAATTTACAAGAGCTGTTCATGCAGCCATCCATT TGTGCAAAATAGGGTAAGAAGATTCAAGAGGATATTTATTACTTCCTCAT ACCACATGGCTTTTGATGATTCTGGATTCTAAACAACCCAGAATGGTCAT TTCAGGCACAACGATACTACATTCGTGTGTGTCTGCTTTTAAACTTGGCT GGGCTATCAGACCCTATTCTCGGCTCAGGTTTTGAGAAGCCATCAGCAAA TGTGTACGTGCATGCTGTAGCTGCAGCCTGCATCCCTTCGCCTGCAGCCT ACTTTGGGGAAATAAAGTGCCTTACTGACTGTAGCCATTACAGTATCCAA TGTCTTTTGACAGGTGCCTGTCCTTGAAAAACAAAGTTTCTATTTTTATT TTTAATTGGTTTAGTTCTTAACTGCTGGCCAACTCTTACATCCCCAGCAA ATCATCGGGCCATTGGATTTTTTCCATTATGTTCATCACCCTTATATCAT GTACCTCAGATCTCTCTCTCTCTCCTCTCTCTCAGTTATGTAGTTTCTTG TCTTGGACTTTTTTTTTTCTTTTCTTTTTCTTTTTTTTTTTGCTTTAAAA CAAGTGTGATGCCATATCAAGTCCATGTTATTCTCTCACAGTGTACTCTA TAAGAGGTGTGGGTGTCTGTTTGGTCAGGATGTTAGAAAGTGCTGATAAG TAGCATGATCAGTGTATGCGAAAAGGTTTTTAGGAAGTATGGCAAAAATG TTGTATTGGCTATGATGGTGACATGATATAGTCAGCTGCCTTTTAAGAGG TCTTATCTGTTCAGTGTTAAGTGATTTAAAAAAATAATAACCTGTTTTCT GACTAGTTTAAAGATGGATTTGAAAATGGTTTTGAATGCAATTAGGTTAT GCTATTTGGACAATAAACTCACCTTGACCT

As used herein the term “MYC” has its general meaning in the art and refers to v-myc avian myelocytomatosis viral oncogene homolog gene. A typical cDNA sequence of MYC is represented by SEQ ID NO:11.

(MYC_homo sapiens) SEQ ID NO: 11  CTGCTCGCGGCCGCCACCGCCGGGCCCCGGCCGTCCCTGGCTCCCCTCCT GCCTCGAGAAGGGCAGGGCTTCTCAGAGGCTTGGCGGGAAAAAGAACGGA GGGAGGGATCGCGCTGAGTATAAAAGCCGGTTTTCGGGGCTTTATCTAAC TCGCTGTAGTAATTCCAGCGAGAGGCAGAGGGAGCGAGCGGGCGGCCGGC TAGGGTGGAAGAGCCGGGCGAGCAGAGCTGCGCTGCGGGCGTCCTGGGAA GGGAGATCCGGAGCGAATAGGGGGCTTCGCCTCTGGCCCAGCCCTCCCGC TGATCCCCCAGCCAGCGGTCCGCAACCCTTGCCGCATCCACGAAACTTTG CCCATAGCAGCGGGCGGGCACTTTGCACTGGAACTTACAACACCCGAGCA AGGACGCGACTCTCCCGACGCGGGGAGGCTATTCTGCCCATTTGGGGACA CTTCCCCGCCGCTGCCAGGACCCGCTTCTCTGAAAGGCTCTCCTTGCAGC TGCTTAGACGCTGGATTTTTT TCGGGTAGTGGAAAACCAGCAGCCTCCCG CGACGATGCCCCTCAACGTTAGCTTCACCAACAGGAACTATGACCTCGAC TACGACTCGGTGCAGCCGTATTTCTACTGCGACGAGGAGGAGAACTTCTA CCAGCAGCAGCAGCAGAGCGAGCTGCAGCCCCCGGCGCCCAGCGAGGATA TCTGGAAGAAATTCGAGCTGCTGCCCACCCCGCCCCTGTCCCCTAGCCGC CGCTCCGGGCTCTGCTCGCCCTCCTACGTTGCGGTCACACCCTTCTCCCT TCGGGGAGACAACGACGGCGGTGGCGGGAGCTTCTCCACGGCCGACCAGC TGGAGATGGTGACCGAGCTGCTGGGAGGAGACATGGTGAACCAGAGTTTC ATCTGCGACCCGGACGACGAGACCTTCATCAAAAACATCATCATCCAGGA CTGTATGTGGAGCGGCTTCTCGGCCGCCGCCAAGCTCGTCTCAGAGAAGC TGGCCTCCTACCAGGCTGCGCGCAAAGACAGCGGCAGCCCGAACCCCGCC CGCGGCCACAGCGTCTGCTCCACCTCCAGCTTGTACCTGCAGGATCTGAG CGCCGCCGCCTCAGAGTGCATCGACCCCTCGGTGGTCTTCCCCTACCCTC TCAACGACAGCAGCTCGCCCAAGTCCTGCGCCTCGCAAGACTCCAGCGCC TTCTCTCCGTCCTCGGATTCTCTGCTCTCCTCGACGGAGTCCTCCCCGCA GGGCAGCCCCGAGCCCCTGGTGCTCCATGAGGAGACACCGCCCACCACCA GCAGCGACTCTGAGGAGGAACAAGAAGATGAGGAAGAAATCGATGTTGTT TCTGTGGAAAAGAGGCAGGCTCCTGGCAAAAGGTCAGAGTCTGGATCACC TTCTGCTGGAGGCCACAGCAAACCTCCTCACAGCCCACTGGTCCTCAAGA GGTGCCACGTCTCCACACATCAGCACAACTACGCAGCGCCTCCCTCCACT CGGAAGGACTATCCTGCTGCCAAGAGGGTCAAGTTGGACAGTGTCAGAGT CCTGAGACAGATCAGCAACAACCGAAAATGCACCAGCCCCAGGTCCTCGG ACACCGAGGAGAATGTCAAGAGGCGAACACACAACGTCTTGGAGCGCCAG AGGAGGAACGAGCTAAAACGGAGCTTTTTTGCCCTGCGTGACCAGATCCC GGAGTTGGAAAACAATGAAAAGGCCCCCAAGGTAGTTATCCTTAAAAAAG CCACAGCATACATCCTGTCCGTCCAAGCAGAGGAGCAAAAGCTCATTTCT GAAGAGGACTTGTTGCGGAAACGACGAGAACAGTTGAAACACAAACTTGA ACAGCTACGGAACTCTTGTGCGTAAGGAAAAGTAAGGAAAACGATTCCTT CTAACAGAAATGTCCTGAGCAATCACCTATGAACTTGTTTCAAATGCATG ATCAAATGCAACCTCACAACCTTGGCTGAGTCTTGAGACTGAAAGATTTA GCCATAATGTAAACTGCCTCAAATTGGACTTTGGGCATAAAAGAACTTTT TTATGCTTACCATCTTTTTTTTTTCTTTAACAGATTTGTATTTAAGAATT GTTTTTAAAAAATTTTAAGATTTACACAATGTTTCTCTGTAAATATTGCC ATTAAATGTAAATAACTTTAATAAAACGTTTATAGCAGTTACACAGAATT TCAATCCTAGTATATAGTACCTAGTATTATAGGTACTATAAACCCTAATT TTTTTTATTTAAGTACATTTTGCTTTTTAAAGTTGATTTTTTTCTATTGT TTTTAGAAAAAATAAAATAACTGGCAAATATATCATTGAGCCAAA

As used herein the term “MYBL1” has its general meaning in the art and refers to v-myb avian myeloblastosis viral oncogene homolog-like 1 gene. A typical cDNA sequence of MYBL1 is represented by SEQ ID NO:12.

(MYBL1_homo sapiens) SEQ ID NO: 12  GGACAAAACCCTGCAGGAGACTGCGAGCCCTGCAGAACTGCTAGCTGCGG GGGAGAGGGCAGGGGTCGGGCGCCTGTGGCGGAGCCGGGCTGGGGCCAGG GCAGGGAGGCTGACAAGCGGCGGGAGAAGCCGGCGGAGGGCGGGATCGCG CCTCCTGACATGTTGGGGGTATCCCTGGCCGGGCCGGGCCGGGGCTAAGA GCGGCGCTGCGGGCCGGGGTCGGGGTCGGGTCGCGGTCCGCCCCCGCTGT CCCTCCGTCCTGCCCTGTCGAGGACGTGCGTTCCGCACTCGGCCGCCTCC AGAGGGAGCGAGGGAAGCGGCTAGAGGATCGGGGAGAAGGAGCATTCGCC GGAGGCTGGAGGAGGCTGACCCGCGTCCCCGCCCAGCCTGCTCCTATGCG GTACTTGAAGGATGGCGAAGAGGTCGCGCAGTGAGGATGAGGATGATGAC CTTCAGTATGCCGATCATGATTATGAAGTACCACAACAAAAAGGACTGAA GAAACTCTGGAACAGAGTAAAATGGACAAGGGACGAGGATGATAAATTAA AGAAGTTGGTTGAACAACATGGAACTGATGATTGGACTCTAATTGCTAGT CATCTTCAAAATCGCTCTGATTTTCAGTGCCAGCATCGATGGCAGAAAGT TTTAAATCCTGAATTGATAAAGGGTCCTTGGACTAAAGAAGAAGATCAGA GGGTTATTGAATTAGTTCAGAAATATGGGCCAAAAAGATGGTCTTTAATT GCAAAACATTTAAAAGGAAGAATAGGCAAGCAGTGTAGAGAAAGATGGCA TAATCATCTGAATCCTGAGGTAAAGAAATCTTCCTGGACAGAAGAGGAGG ACAGGATCATCTATGAAGCACATAAGCGGTTGGGAAATCGTTGGGCAGAA ATTGCCAAACTACTTCCAGGAAGGACTGATAATTCTATCAAAAATCATTG GAATTCTACTATGCGAAGAAAAGTGGAACAGGAGGGCTATTTACAAGATG GAATAAAATCAGAACGATCTTCATCTAAACTTCAACACAAACCTTGTGCA GCTATGGATCATATGCAAACCCAGAATCAGTTTTACATACCTGTTCAGAT CCCTGGGTATCAGTATGTGTCACCTGAAGGCAATTGTATAGAACATGTTC AGCCTACTTCTGCCTTTATTCAGCAACCCTTCATTGATGAAGATCCTGAT AAGGAAAAGAAAATAAAGGAACTTGAGATGCTTCTTATGTCAGCTGAGAA TGAAGTTAGAAGAAAGCGAATTCCATCACAGCCTGGAAGTTTTTCTAGCT GGTCTGGTAGTTTCCTCATGGATGATAACATGTCTAATACTCTAAATAGC CTTGACGAGCACACTAGTGAGTTTTACAGTATGGATGAAAATCAGCCTGT GTCTGCTCAGCAGAATTCACCCACAAAGTTCCTGGCCGTGGAGGCAAACG CTGTGTTATCCTCTTTGCAGACCATC CCAGAATTTGCAGAGACTCTAGAA CTTATTGAATCTGATCCTGTAGCATGGAGTGACGTTACCAGTTTTGATAT TTCTGATGCTGCTGCTTCTCCTATCAAATCCACCCCAGTTAAATTAATGA GAATTCAGCACAATGAAGGAGCCATGGAATGCCAATTTAACGTCAGTCTT GTACTTGAAGGGAAAAAAAACACTTGTAATGGTGGCAACAGTGAAGCTGT TCCTTTAACATCCCCAAATATAGCCAAGTTTAGCACTCCACCAGCCATCC TCAGAAAGAAGAGAAAAATGCGAGTGGGTCATTCCCCAGGCAGCGAACTT AGGGATGGCTCATTGAACGATGGTGGTAATATGGCGCTAAAACATACACC ACTGAAAACACTACCATTTTCTCCTTCACAGTTTTTCAACACATGTCCTG GTAATGAACAACTTAATATAGAAAATCCTTCATTTACATCAACCCCTATT TGTGGGCAGAAAGCTCTCATTACAACTCCTCTTCATAAGGAAACAACTCC CAAAGATCAAAAGGAAAATGTAGGGTTTAGAACACCTACTATTAGAAGAT CTATACTGGGTACCACACCAAGAACTCCTACTCCTTTTAAGAATGCGCTT GCTGCTCAGGAGAAAAAATATGGACCTCTTAAAATTGTGTCCCAGCCACT TGCTTTCTTGGAAGAAGATATTCGGGAAGTTTTAAAAGAAGAAACTGGAA CAGACCTATTCCTCAAAGAGGAAGATGAACCTGCTTACAAAAGCTGCAAA CAAGAGAATACCGCTTCTGGGAAGAAAGTCAGAAAATCACTAGTCTTAGA TAATTGGGAAAAAGAAGAATCAGGCACTCAACTGTTGACTGAAGACATTT CAGACATGCAGTCAGAAAATAGATTTACTACATCCTTATTAATGATACCA TTATTGGAAATACATGACAATAGGTGCAACTTGATTCCTGAAAAACAAGA TATAAATTCAACCAACAAAACATATACACTTACTAAAAAGAAACCAAACC CTAACACTTCCAAAGTTGTCAAATTGGAAAAGAATCTTCAGTCAAATTGT GAATGGGAAACAGTGGTTTATGGGAAGACAGAAGACCAACTTATTATGAC TGAACAAGCAAGAAGATATCTGAGTACTTACACAGCTACCAGTAGTACTT CAAGAGCTCTCATACTGTAATTGTTATTAAAATTGATGAAATGCCCCACT CCCTTACTGCAGTCTCTACTAAATTAGGTTGCAGTGAAATTTTTCTCAAT TAGTTGTTTTTAAAGTTGTAAGATAGCCCTTTTAATACAGCATCTTTTTT CTATTCTATATAGTAGGCAGAAAGCTAGTAAGTCACTTAAGGGGTAGATA GTTTCATAGTTTATTTTTTAAGAGATGAGATTTTTAAAAATTGTTTTTAA AGAACAAGATGGGAAAATAATAGAATGTTCATGGATTTCTAAAAGTAAAT TCTCATATATTTTCTTCACAAGATATATGTTGCTACTCTCTTGATGCTGC AGTTTTGTTATAGATAGGTGTATGAGTATATATGATTTCTGAAATTAGTC TATGTATGGAAAGCACACATGATTTTATGAAGTACTTTTGCCCATGTGCT GATTTACTTAGGCTACCATTTACAAAGAAACACATTGAAAAGGAATTTAA AGGAAGGATAGAAAGTTGCACTACTAATTTTTTGTTTTTTTTTTCAGAAG CAGTAAAATTAACTACAGTGTTAAATGTATTTATTTGAGCATAGTACTGA AAACAAAAAGCATTCAAAAAAGAGTTTTTTCTTTATTAGTAAATAGTATT TTCTTAATCTCAGAGGAGCTGAGAGTTTTGTTGAATGTATTGTACAGTAT GTAGGAGCAGGAGAACTTTGTAAATTGGAAAGAAGTCTGTTTTTATAATT TATTTTTATTTTTAAAGCTTAAATGTAGATATTTATACGTATACAGGGTG CCTAGAAGCCAATGTTGTTTCCTGTTATTACAGCTAACACAGTAAAGAAT AATTTTGACTTTAAGTATGAAACAGTAGTAAGTTATAGCTGCAAAGAATA CAATATCTATACTGTATGTCACATCTACCTAAATGTTGCACTATGCCCTT TAAATCATGCTGGTTATAAAGTAGTTCTAAAAATGTACTAAATAATAATT TAATATTTTCTTTTTAAATTATATCGGGGGTGGTCATATACATTAATCTG GTGATTTGTATATGTGTTTGAAATTTTTGCATTTTGTTTAAAAAATAATA TGGTACCTTGGTCCCTAAAAACAGTCTGCACTTAGAAGTTTATATTTACT CAGTGTTTCAGAAGTGGAGAACATTATCTTTTATTTATAAAAATATTTTG TCCTTTTTTAAATGTTTTGTGTTTCTCTACAGGTTACAACAGTTGCTTCA GTTGCCTGTTTTAGGTGTTTGCACTTATTTTATTTCTTCTTGAAAGAATT TTTATTTGCTTTTGTGGTAGAGATTATATGTAATTTTTTTTCAGTCATAT AATGGTGTGCTGTCAACTTAAACACTGACAGGTAAATAGAATTGTACACT GTAGTTTGAATTATTTATAATTGACACACTCTCTCCCTCTCCACTCCTGA AGTATGCTGCTATAGAAAATAGCAGAATCGGCTTGCTGCTACGAGAGAAG GAAAGAGCGACCACCACTTGCACTGTGTGAAAAGATAAAAAACAAATGAT GGCAAGTTCTCAAGTTAACTAAATGGAATCAACCATTACCAGGCAAATTC TTGCAAATACCAAAATACTACTATGCCTTATAAAACAAAATGAAAGCAGG TTAAGATTTTCTGCTCTGTTTGTATGTTAATAGAAATGGAAATACTAAGT ATTTTAATGCTTAGCTCTTGAACAGTAGACCTAAAAGGGTTTTAAGCTAT TTAAATCTACTTGCTAGTTTTTGCATATTTTATATATATATATATTTATA TATATATATAGTGAGAAGTGAAGAAAATGTATGGTACTAAGATTATGCCT TATTGATAAATAGATAAACCAATTTGAATCCTCTTAGCATGTTTAAGTAT GTTGATTGCTTTCTAATTAATGAACTTCTCACAGAAATTTCACTTAGTGA AACCAATGATTGTAGCAAACTCATACTGGATCATTTCAGTTACCTTGAAC TAATAGCACATAATGGTTTTTTGTTGTTGTTGTTTTTAATGTAGCCCTTA CCTGGATATACATAGTCTGCAATCACCAAAGTATAATATCTTGTAAGGCT ATATTTTTTAAAGCATATTTTTTCTTGAGCATTAAATTATCCTAAATGGT AATATATTGTGGATAAGTCTGGGCTTATTGGACATAATACATATTTGGGT TGGTACTGGTTGAATCCTTCAGTTAACTGCTTTGTTGCTTTTTGCAAGAT TTTTTATCTTAAACATGTCAGGCATCTTAAGTCACCTTTATACTGTTTTG TTCCTCTGAGTTTCTTTCAGTATGTTATACAAATGCCAGACATAACATGT AGCAGCCATACTTGCATGGAAACTGACTACACATACATAATACTGCATTT TATTGTAAGGTTTTCACATTAATACAGCAATTACCCTGACTAAATTGAGT TTTGTGATATATGGAAAACTTCATTGTAAGAGAATCTTGCATACAATGTT GACATATTAACATCCAAAATAAAGCATCTGTGTACAAGCTGA

As used herein the term “BCL2” has its general meaning in the art and refers to B-cell CLL/lymphoma 2 gene. A typical cDNA sequence of BCL2 is represented by SEQ ID NO:13.

(BCL2_homo sapiens) SEQ ID NO: 13  ACCACCTCCTTCTCCCCACCCCTCGCCGCACCACACACAGCGCGGGCTTC TAGCGCTCGGCACCGGCGGGCCAGGCGCGTCCTGCCTTCATTTATCCAGC AGCTTTTCGGAAAATGCATTTGCTGTTCGGAGTTTAATCAGAAGAGGATT CCTGCCTCCGTCCCCGGCTCCTTCATCGTCCCCTCTCCCCTGTCTCTCTC CTGGGGAGGCGTGAAGCGGTCCCGTGGATAGAGATTCATGCCTGTGCCCG CGCGTGTGTGCGCGCGTGTAAATTGCCGAGAAGGGGAAAACATCACAGGA CTTCTGCGAATACCGGACTGAAAATTGTAATTCATCTGCCGCCGCCGCTG CCTTTTTTTTTTCTCGAGCTCTTGAGATCTCCGGTTGGGATTCCTGCGGA TTGACATTTCTGTGAAGCAGAAGTCTGGGAATCGATCTGGAAATCCTCCT AATTTTTACTCCCTCTCCCCGCGACTCCTGATTCATTGGGAAGTTTCAAA TCAGCTATAACTGGAGAGTGCTGAAGATTGATGGGATCGTTGCCTTATGC ATTTGTTTTGGTTTTACAAAAAGGAAACTTGACAGAGGATCATGCTGTAC TTAAAAAATACAACATCACAGAGGAAGTAGACTGATATTAACAATACTTA CTAATAATAACGTGCCTCATGAAATAAAGATCCGAAAGGAATTGGAATAA AAATTTCCTGCATCTCATGCCAAGGGGGAAACACCAGAATCAAGTGTTCC GCGTGATTGAAGACACCCCCTCGTCCAAGAATGCAAAGCACATCCAATAA AATAGCTGGATTATAACTCCTCTTCTTTCTCTGGGGGCCGTGGGGTGGGA GCTGGGGCGAGAGGTGCCGTTGGCCCCCGTTGCTTTTCCTCTGGGAAGGA TGGCGCACGCTGGGAGAACAGGGTACGATAACCGGGAGATAGTGATGAAG TACATCCATTATAAGCTGTCGCAGAGGGGCTACGAGTGGGATGCGGGAGA TGTGGGCGCCGCGCCCCCGGGGGCCGCCCCCGCACCGGGCATCTTCTCCT CCCAGCCCGGGCACACGCCCCATCCAGCCGCATCCCGGGACCCGGTCGCC AGGACCTCGCCGCTGCAGACCCCGGCTGCCCCCGGCGCCGCCGCGGGGCC TGCGCTCAGCCCGGTGCCACCTGTGGTCCACCTGACCCTCCGCCAGGCCG GCGACGACTTCTCCCGCCGCTACCGCCGCGACTTCGCCGAGATGTCCAGC CAGCTGCACCTGACGCCCTTCACCGCGCGGGGACGCTTTGCCACGGTGGT GGAGGAGCTCTTCAGGGACGGGGTGAACTGGGGGAGGATTGTGGCCTTCT TTGAGTTCGGTGGGGTCATGTGTGTGGAGAGCGTCAACCGGGAGATGTCG CCCCTGGTGGACAACATCGCCCTGTGGATGACTGAGTACCTGAACCGGCA CCTGCACA CCTGGATCCAGGATAACGGAGGCTGGGATGCCTTTGTGGAAC TGTACGGCCCCAGCATGCGGCCTCTGTTTGATTTCTCCTGGCTGTCTCTG AAGACTCTGCTCAGTTTGGCCCTGGTGGGAGCTTGCATCACCCTGGGTGC CTATCTGGGCCACAAGTGAAGTCAACATGCCTGCCCCAAACAAATATGCA AAAGGTTCACTAAAGCAGTAGAAATAATATGCATTGTCAGTGATGTACCA TGAAACAAAGCTGCAGGCTGTTTAAGAAAAAATAACACACATATAAACAT CACACACACAGACAGACACACACACACACAACAATTAACAGTCTTCAGGC AAAACGTCGAATCAGCTATTTACTGCCAAAGGGAAATATCATTTATTTTT TACATTATTAAGAAAAAAAGATTTATTTATTTAAGACAGTCCCATCAAAA CTCCTGTCTTTGGAAATCCGACCACTAATTGCCAAGCACCGCTTCGTGTG GCTCCACCTGGATGTTCTGTGCCTGTAAACATAGATTCGCTTTCCATGTT GTTGGCCGGATCACCATCTGAAGAGCAGACGGATGGAAAAAGGACCTGAT CATTGGGGAAGCTGGCTTTCTGGCTGCTGGAGGCTGGGGAGAAGGTGTTC ATTCACTTGCATTTCTTTGCCCTGGGGGCTGTGATATTAACAGAGGGAGG GTTCCTGTGGGGGGAAGTCCATGCCTCCCTGGCCTGAAGAAGAGACTCTT TGCATATGACTCACATGATGCATACCTGGTGGGAGGAAAAGAGTTGGGAA CTTCAGATGGACCTAGTACCCACTGAGATTTCCACGCCGAAGGACAGCGA TGGGAAAAATGCCCTTAAATCATAGGAAAGTATTTTTTTAAGCTACCAAT TGTGCCGAGAAAAGCATTTTAGCAATTTATACAATATCATCCAGTACCTT AAGCCCTGATTGTGTATATTCATATATTTTGGATACGCACCCCCCAACTC CCAATACTGGCTCTGTCTGAGTAAGAAACAGAATCCTCTGGAACTTGAGG AAGTGAACATTTCGGTGACTTCCGCATCAGGAAGGCTAGAGTTACCCAGA GCATCAGGCCGCCACAAGTGCCTGCTTTTAGGAGACCGAAGTCCGCAGAA CCTGCCTGTGTCCCAGCTTGGAGGCCTGGTCCTGGAACTGAGCCGGGGCC CTCACTGGCCTCCTCCAGGGATGATCAACAGGGCAGTGTGGTCTCCGAAT GTCTGGAAGCTGATGGAGCTCAGAATTCCACTGTCAAGAAAGAGCAGTAG AGGGGTGTGGCTGGGCCTGTCACCCTGGGGCCCTCCAGGTAGGCCCGTTT TCACGTGGAGCATGGGAGCCACGACCCTTCTTAAGACATGTATCACTGTA GAGGGAAGGAACAGAGGCCCTGGGCCCTTCCTATCAGAAGGACATGGTGA AGGCTGGGAACGTGAGGAGAGGCAATGGCCACGGCCCATTTTGGCTGTAG CACATGGCACGTTGGCTGTGTGGCCTTGGCCCACCTGTGAGTTTAAAGCA AGGCTTTAAATGACTTTGGAGAGGGTCACAAATCCTAAAAGAAGCATTGA AGTGAGGTGTCATGGATTAATTGACCCCTGTCTATGGAATTACATGTAAA ACATTATCTTGTCACTGTAGTTTGGTTTTATTTGAAAACCTGACAAAAAA AAAGTTCCAGGTGTGGAATATGGGGGTTATCTGTACATCCTGGGGCATTA A

As used herein the term “MS4A1” has its general meaning in the art and refers to membrane-spanning 4-domains, subfamily A, member 1. A typical cDNA sequence of MS4A1 is represented by SEQ ID NO:14.

(MS4A1_homo sapiens) SEQ ID NO: 14  ACCCTCCCAGTGTGCTTGAGAAACAAACTGCACCCACTGAACTCCGCAGC TAGCATCCAAATCAGCCCTTGAGATTTGAGGCCTTGGAGACTCAGGAGTT TTGAGAGCAAAATGACAACACCCAGAAATTCAGTAAATGGGACTTTCCCG GCAGAGCCAATGAAAGGCCCTATTGCTATGCAATCTGGTCCAAAACCACT CTTCAGGAGGATGTCTTCACTGGAACTTGTAATAGCTGGCATCGTTGAGA ATGAATGGAAAAGAACGTGCTCCAGACCCAAATCTAACATAGTTCTCCTG TCAGCAGAAGAAAAAAAAGAACAGACTATTGAAATAAAAGAAGAAGTGGT TGGGCTAACTGAAACATCTTCCCAACCAAAGAATGAAGAAGACATTGAAA TTATTCCAATCCAAGAAGAGGAAGAAGAAGAAACAGAGACGAACTTTCCA GAACCTCCCCAAGATCAGGAATCCTCACCAATAGAAAATGACAGCTCTCC TTAAGTGATTTCTTCTGTTTTCTGTTTCCTTTTTTAAACATTAGTGTTCA TAGCTTCCAAGAGACATGCTGACTTTCATTTCTTGAGGTACTCTGCACAT ACGCACCACATCTCTATCTGGCCTTTGCATGGAGTGACCATAGCTCCTTC TCTCTTACATTGAATGTAGAGAATGTAGCCATTGTAGCAGCTTGTGTTGT CACGCTTCTTCTTTTGAGCAACTTTCTTACACTGAAGAAAGGCAGAATGA GTGCTTCAGAATGTGATTTCCTACTAACCTGTTCCTTGGATAGGCTTTTT AGTATAGTATTTTTTTTTGTCATTTTCTCCATCAACAACCAGGGAGACTG CACCTGATGGAAAAGATATATGACTGCTTCATGACATTCCTAAACTATCT TTTTTTTATTCCACATCTACGTTTTTGG

As used herein, the term “target nucleic acid sequence” refers to a specific nucleic acid sequence of the gene for which the determination of the expression level is sought (i.e. NEK6, IRF4, IGHM, CCND1, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2, MYC, MYBL1, BCL2, and MS4A1). According to the invention the target nucleic acid sequence consists of 2 segments which are substantially adjacent. As used herein, the term “substantially adjacent” is used in reference to nucleic acid molecules that are in close proximity to one another.

MLPA is a well known method for determining the level expressions genes in a multiplex assay performed in one single tube. The general protocol for MLPA is described in Schouten, J. P. et al., (2002) Nucl. Acid Res. 30, e57, on mplpa.com and also can be found U.S. Pat. No. 6,955,901, these references are incorporated herein by reference in their entirety. MLPA probes are designed that hybridizes to the target nucleic acid sequences specific for the genes of interest (i.e. NEK6, IRF4, IGHM, CCND1, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2, MYC, MYBL1, BCL2, o MS4A1). Each probe is actually in two parts, both of which will hybridize to the target cDNA in close proximity to each other. Each part of the probe carries the sequence for one of the PCR primers. Only when the two parts of the MLPA probe are hybridize to the target DNA in close proximity to each other will the two parts be ligated together, and thus form a complete DNA template for the one pair of PCR primers used. Thus, with the RT-MLPA assay of the present invention, it is possible to perform a multiplex PCR reaction in which the expression levels of at least the 10genes are simultaneously quantified. The method is thus very sensitive. Moreover, MLPA reactions require small amount of cDNA. In contrast to e.g. FISH and BAC-arrays or even RT-PCR, the sequences detected are small (about 60nucleotides), and RT-MLPA is thus particularly adapted to the analysis of partially degraded RNA samples, for example obtained from formalin fixed paraffin embedded tissues. Compared to other techniques, an MLPA reaction is fast, cheap and very simple to perform. The equipment required is present in most molecular biology laboratories.

In some embodiments, the method of the present comprises the following steps of i) preparing a cDNA sample from the tumor tissue sample, ii) incubating the cDNA sample of step i) with a mixture of at least 10 different pairs of probes specific of a target nucleic acid sequence of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2 and MYBL1, iii) connecting (i.e. ligating) the first probe to the second probe of the pairs probes, iv) amplifying the ligated probes produced at step iii) and v) detecting and quantifying the amplicons produced at step iv).

In some embodiments, the cDNA sample is also incubated with a pair of probes specific for a target nucleic sequence of CCND1.

In some embodiments, the cDNA sample is also incubated with a pair of probes specific for a target nucleic sequence of MS4A1.

In some embodiments, the cDNA sample is also incubated with a pair of probes specific for a target nucleic sequence of MYC.

In some embodiments, the cDNA sample is also incubated with a pair of probes specific for a target nucleic sequence of BCL2.

In some embodiments, the method of the present comprises the following steps of i) preparing a cDNA sample from the tumor tissue sample, ii) incubating the cDNA sample of step i) with a mixture of at least 14 different pairs of probes specific of a target nucleic acid sequences of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2 and MYBL1, iii) connecting (i.e. ligating) the first probe to the second probe of the pairs probes, iv) amplifying the ligated probes produced at step iii) and v) detecting and quantifying the amplicons produced at step iv).

Typically, the cDNA sample is prepared as follows. mRNA contained in the tumor tissue sample is extracted according to standard methods, for example using lytic enzymes or chemical solutions or extracted by nucleic-acid-binding resins following the manufacturer's instructions. Then cDNA synthesis is performed according to standard methods involving reverse transcriptase. In some embodiments, random hexamer primers (instead of gene specific primers) are used for the cDNA synthesis. Random hexamers primers are well known in the art and are typically commercially available from FISCHER.

According to the invention, the pair of probes consists of:

-   -   a first probe having         -   a target specific region (L) complementary to the first             segment of the target nucleic acid sequence and         -   a tail region (TL) at the 5′ extremity of the target             specific region (L) which is non-complementary to said             target nucleic acid sequence,     -   a second probe having         -   a target specific region (R) complementary to the second             segment of the target nucleic acid sequence and; and         -   a tail region (TR) at the 3′ extremity of the target             specific region (R) which is non-complementary to said             target nucleic acid sequence

As used herein, “probe” refers to a known sequence of a nucleic acid that is capable of selectively binding to a target nucleic acid sequence. More specifically, the term “probe” refers to an oligonucleotide designed to be sufficiently complementary to a sequence of one strand of a nucleic acid that is to be probed such that the probe and nucleic acid strand will hybridise under selected stringency conditions. Typically, the probes of the present invention are chemically synthesised. According to the invention the first probes and the second probes are able to form a litigated probe after the ligation step (step iii)) as explained herein after. As used herein a “ligated probe” refers to the end product of a ligation reaction between the pair of probes. Accordingly, the probes are in a sufficient proximity to allow the 3′ end of the first probe that is brought into juxtaposition with the 5′ end of the second probe so that they may be ligated by a ligase enzyme. In other words, the 5′ end and the 3′ end of the two probes, the first one hybridising to the first segment and the second probe to the second segment, are sufficiently near each other to allow connection of the ends of both probes to one another. In some embodiments, the 5′ terminal end of the target specific region (R) is phosphorylated to allow ligation as described herein after.

In some embodiments, the target specific regions (L) and (R) of the pair of probes of the present invention long enough to allow hybridization at elevated temperatures (e.g. 60° C.). Typically, the length of the complementary region is at least 20 nucleotides.

In some embodiments, the target specific regions (L) and (R) of the pair of probes of the present invention are designed across exon-exon boundaries to avoid unwanted amplifications from genomic DNA during the step iv).

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for NEK6 are designed across exon 2 and exon 3 in SEQ ID NO: 1.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for IRF4 are designed across exon 6 and exon 7 in SEQ ID NO: 2.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for IGHM are designed across exon 2 and exon 3 in SEQ ID NO: 3.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for CCND1 are designed across exon 3 and exon 4 in SEQ ID NO: 4.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for LMO2 are designed across exon 5 and exon 6 in SEQ ID NO: 5.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for FOXP1 are designed across exon 10 and exon 11 in SEQ ID NO: 6.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for TNFRSF9 are designed across exon 3 and exon 4 in SEQ ID NO: 7.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for BCL6 are designed across exon 3 and exon 4 in SEQ ID NO: 8.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for TNFRSF13B are designed across exon 2 and exon 3 in SEQ ID NO: 9.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for CCND2 are designed across exon 1 and exon 2 in SEQ ID NO: 10.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for MYC are designed across exon 1 and exon 2 in SEQ ID NO: 11.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for MYBL1 are designed across exon 10 and exon 11 in SEQ ID NO: 12.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for BCL2 are designed across exon 1 and exon 2 in SEQ ID NO: 13.

In some embodiments, the target specific regions (L) and (R) of the pair of probes specific for MS4A1 are designed across exon 5 and exon 6 in SEQ ID NO: 14.

In some embodiments, the pair of probes specific for NEK6 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:15 (CCTGTGCATCCTCCTGACCCACAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:16 (AGGCATCCCAACACGCTGTCTTT).

In some embodiments, the pair of probes specific for IRF4 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:17 (CTGCCGAAGCCTTGGCGTTCTCAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:18 (ACTGCCGGCTGCACATCTGCCTGTA).

In some embodiments, the pair of probes specific for IGHM consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:19 (GCGTCCTCCATGTGTGGCCCCG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:20 (ATCAAGACACAGCCATCCGGGTCTTC).

In some embodiments, the pair of probes specific for CCND1 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:21 (ACCTTCGTTGCCCTCTGTGCCACAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:22 (ATGTGAAGTTCATTTCCAATCCGCCCT).

In some embodiments, the pair of probes specific for LMO2 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:23 (CGGAAGCTCTGCCGGAGAGACTATCTCAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:24 (GCTTTTTGGGCAAGACGGTCTCTGC).

In some embodiments, the pair of probes specific for FOXP1 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:25 (CCCTTCCCCTTCAACCTCTTGCTCAAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:26 (GCATGATTCCAACAGAACTGCAGCAGC).

In some embodiments, the pair of probes specific for TNFRSF9 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:27 (GGACCTGTGACATATGCAGGCAGTGTAAAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:28 (GTGTTTTCAGGACCAGGAAGGAGTGTTCC).

In some embodiments, the pair of probes specific for BCL6 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:29 (CATAAAACGGTCCTCATGGCCTGCAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:30 (TGGCCTGTTCTATAGCATCTTTACAGACCAGTTG).

In some embodiments, the pair of probes specific for TNFRSF13B consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:31 (GCGCACCTGTGCAGCCTTCTGCA) and a second probe having its target specific region (R) as set forth by SEQ ID NO:32 (GGTCACTCAGCTGCCGCAAGGAGC).

In some embodiments, the pair of probes specific for CCND2 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:33 (GACCTTCATTGCTCTGTGTGCCACCG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:34 (ACTTTAAGTTTGCCATGTACCCACCGTCGA).

In some embodiments, the pair of probes specific for MYC consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:35 (TCGGGTAGTGGAAAACCAGCAGCCTC) and a second probe having its target specific region (R) as set forth by SEQ ID NO:36 (CCGCGACGATGCCCCTCAACGTTA).

In some embodiments, the pair of probes specific for MYBL1 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:37 (CCAGAATTTGCAGAGACTCTAGAACTTATTGAATCT) and a second probe having its target specific region (R) as set forth by SEQ ID NO:38 (GATCCTGTAGCATGGAGTGACGTTACCAGTTTT).

In some embodiments, the pair of probes specific for BCL2 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:39 (CCTGGATCCAGGATAACGGAGGCTGG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:40 (GATGCCTTTGTGGAACTGTACGGCC).

In some embodiments, the pair of probes specific for MS4A1 consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:41 (TTCTTCATGAGGGAATCTAAGACTTTGGGG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:42 (GCTGTCCAGATTATGAATGGGCTCTTCCAC).

According to the invention, the tail region TR and the reverse complement sequence or the tail region TL of the probes are designed so as to be capable of hybridizing with a primer.

In some embodiments, the tail regions (TL) and (TR) can be of any size, and typically comprises a nucleic acid sequence with a length of at least 15 nucleotides.

In some embodiments, the tail region (TL) of the first probes are identical for each pair of probes and the tail regions (TR) of the second probe are also identical for each pair of probes so that the amplification of the primer assemblies during the step iv) is carried out with only one pair of primers and thus excluding any bias in the amplification of the probes due to sequence differences in the primers.

In some embodiments, the pairs of probes of the present invention comprise first probes having the same tail region (TL) as set forth by SEQ ID NO:43 (GTGCCAGCAAGATCCAATCTAGA).

In some embodiments, the pairs of probes of the present invention comprise second probes having the same tail region (TR) as set forth by SEQ ID NO: 44 (TCCAACCCTTAGGGAACCC).

In some embodiments, the probes of the present invention comprise a spacer region placed between the target specific region and the tail region. The spacer region can be of any size, and typically comprises a nucleic acid with a length of at least 1 nucleotide (e.g. A, C, T or G). By varying the size of the spacer region one can easily design probes that comprise the same hybridisation capacity (wherein the length of complementarity region with the target nucleic acid sequence and the CG/AT content are adjusted to each other), while still being able to discriminate the resulting amplicons by size. In some embodiments, the spacer region comprises a plurality of trinucleotides repeats (e.g. TAC repeats). The spacer regions are of particular interest in the multiplex amplification as explained herein after to allow the discrimination of the different amplicons that can result from said amplification. Discrimination will be indeed achieved since the size of each amplicon that can occur is different.

In some embodiments, the spacer region is selected from the group consisting of TAC (SEQ ID NO: 45), TACT (SEQ ID NO:46), TACTA (SEQ ID NO:47), TACTACT (SEQ ID NO:48), TACTACTACT (SEQ ID NO:49), TACTACTACTA (SEQ ID NO:50), TACTACTACTAC (SEQ ID NO:51), TACTACTACTACTA (SEQ ID NO:52), and TACTACTACTACTACT (SEQ ID NO:53).

In some embodiments, the pair of probes specific for NEK6 consists of a first probe which is SEQ ID NO:54 (GTGCCAGCAAGATCCAATCTAGACCTGTGCATCCTCCTGACCCACAG) and a second probe which is SEQ ID NO:55 (AGGCATCCCAACACGCTGTCTTTTCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for IRF4 consists of a first probe which is SEQ ID NO:56 (GTGCCAGCAAGATCCAATCTAGATCTGCCGAAGCCTTGGCGTTCTCAG) and a second probe which is SEQ ID NO:57 (ACTGCCGGCTGCACATCTGCCTGTATCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for IGHM consists of a first probe which is SEQ ID NO:58 (GTGCCAGCAAGATCCAATCTAGATGCGTCCTCCATGTGTGGCCCCG) and a second probe which is SEQ ID NO:59 (ATCAAGACACAGCCATCCGGGTCTTCTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for CCND1 consists of a first probe which is SEQ ID NO:60 (GTGCCAGCAAGATCCAATCTAGATACCTTCGTTGCCCTCTGTGCCACAG) and a second probe which is SEQ ID NO:61 (ATGTGAAGTTCATTTCCAATCCGCCCTTACTTCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for LMO2 consists of a first probe which is SEQ ID NO:62 (GTGCCAGCAAGATCCAATCTAGACGGAAGCTCTGCCGGAGAGACTATCTCAG) and a second probe which is SEQ ID NO:63 (GCTTTTTGGGCAAGACGGTCTCTGCTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for FOXP1 consists of a first probe which is SEQ ID NO:64 (GTGCCAGCAAGATCCAATCTAGACCCTTCCCCTTCAACCTCTTGCTCAAG) and a second probe which is SEQ ID NO:65 (GCATGATTCCAACAGAACTGCAGCAGCTACTACTACTCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for TNFRSF9 consists of a first probe which is SEQ ID NO:66 (GTGCCAGCAAGATCCAATCTAGATACGGACCTGTGACATATGCAGGCAGTGTAAAG) and a second probe which is SEQ ID NO:67 (GTGTTTTCAGGACCAGGAAGGAGTGTTCCTACTCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for BCL6 consists of a first probe which is SEQ ID NO:68 (GTGCCAGCAAGATCCAATCTAGATACTACTCATAAAACGGTCCTCATGGCCTGCAG) and a second probe which is SEQ ID NO:69 (TGGCCTGTTCTATAGCATCTTTACAGACCAGTTGTCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for TNFRSF13B consists of a first probe which is SEQ ID NO:70 (GTGCCAGCAAGATCCAATCTAGATACTACTACTAGCGCACCTGTGCAGCCTTCTGCA) and a second probe which is SEQ ID NO:71 (GGTCACTCAGCTGCCGCAAGGAGCTACTACTACTACTCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for CCND2 consists of a first probe which is SEQ ID NO:72 (GTGCCAGCAAGATCCAATCTAGATACTACTGACCTTCATTGCTCTGTGTGCCACCG) and a second probe which is SEQ ID NO:73 (ACTTTAAGTTTGCCATGTACCCACCGTCGATACTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for MYC consists of a first probe which is SEQ ID NO:74 (GTGCCAGCAAGATCCAATCTAGATACTACTACTTCGGGTAGTGGAAAACCAGCAGCCTC) and a second probe which is SEQ ID NO:75 (CCGCGACGATGCCCCTCAACGTTATACTACTACTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for MYBL1 consists of a first probe which is SEQ ID NO:76 (GTGCCAGCAAGATCCAATCTAGACCAGAATTTGCAGAGACTCTAGAACTTATTGAATCT) and a second probe which is SEQ ID NO:77 (GATCCTGTAGCATGGAGTGACGTTACCAGTTTTTACTACTTCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for BCL2 consists of a first probe which is SEQ ID NO:78 (GTGCCAGCAAGATCCAATCTAGATACTACTACTACCCTGGATCCAGGATAACGGAGGCTGG) and a second probe which is SEQ ID NO:79 (GATGCCTTTGTGGAACTGTACGGCCTACTACTACTACTACTTCCAACCCTTAGGGAACCC).

In some embodiments, the pair of probes specific for MS4A1 consists of a first probe which is SEQ ID NO:80 (GTGCCAGCAAGATCCAATCTAGATACTACTACTATTCTTCATGAGGGAATCTAAGACTTTGGGG) and a second probe which is SEQ ID NO:81 (GCTGTCCAGATTATGAATGGGCTCTTCCACTACTACTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the cDNA sample is also incubating with a mixture of competitor probes.

As used herein the term “competitor probe” refers to a probe specific for the target nucleic acid sequence wherein said probe does not contain a tail region as defined above. The competitor probe is suitable for normalizing the amplification signals of the target nucleic acid sequence during the amplification step of the present invention.

In some embodiments, the cDNA sample is also incubated with at least one competitor probe specific for NEK6 or IRF4.

In some embodiments, the cDNA sample is incubated with a competitor probe specific for NEK6. In some embodiments, the cDNA sample is incubated with a competitor probe specific for NEK6 which is SEQ ID NO:82 (AGGCATCCCAACACGCTGTCTTT).

In some embodiments, the cDNA sample is incubated with a competitor probe specific for IGHM. In some embodiments, the cDNA sample is incubated with a competitor probe specific for IGHM which is SEQ ID NO:83 (ATCAAGACACAGCCATCCGGGTCTTC).

In some embodiments, the cDNA sample is incubated with the pairs of probes specific for the five GCB genes (LMO2, MYBL1, BCL6, NEK6, TNFRSF9) and the five ABC genes (IRF4, FOXP1, IGHM, TNFRSF13B, CCND2) and 2 competitor probes for NEK6 and IGHM.

In some embodiments, the cDNA sample is incubated with the pairs of probes specific for the five GCB genes (LMO2, MYBL1, BCL6, NEK6, TNFRSF9), the five ABC genes (IRF4, FOXP1, IGHM, TNFRSF13B, CCND2), the 2 prognostic genes (MYC and BCL2) and the 2 control genes (CCND1 and MS4A1) and the 2 competitor probes for NEK6 and IGHM.

In some embodiments, the cDNA sample is incubated with the nucleic acid sequences SEQ ID NO:54-73 (probes specific for LMO2, MYBL1, BCL6, NEK6, TNFRSF9, IRF4, FOXP1, IGHM, TNFRSF13B, CCND2, MYC, BCL2, CCND1 and MS4A1) and with the nucleic acids SEQ ID NO:82-83 (competitor probes for NEK6 and IGHM).

Typically, the probes of the same pair of probes are present in the mixture in substantially equal amounts, although the said amounts can differ from one another, e.g. dependent on the hybridisation characteristics of the target specific regions with the target nucleic acid sequence.

Typically, the amount of probes in the mixture is less than 10 femtomoles. In some embodiments, the amount of the probed in the mixture is about 3 fentomoles.

In some embodiments, the molar ratio between the probes and the corresponding competitor probe ranges from 1 to 4.

According to the invention, the cDNA sample is incubated with the pairs of probes and optionally with the competitor probes for a sufficient time for allowing hybridization of the probes to the 14 target nucleic acid sequences.

Typically, hybridizing the probes to the target nucleic acid sequences is faster in buffers of high ionic strength. The salt concentration of the buffer has to be reduced however to less than approximately 150 mM after the hybridization reaction for optimal ligase activity. Inclusion of certain chemicals such as polyethyleenglycol polymers or proteins such as BSA may increase both the ligation activity as well as the probed hybridisation speed and do not interfere below certain limits with the ligation and amplification reactions. According to the invention, it is possible to obtain a so called “one-tube reaction” by careful selection of the hybridisation, ligation and amplification reaction conditions.

The duration of the probe hybridization is very important. Some probes will hybridise faster than others. This is due to a difference in length of the hybridising sequence; the presence or absence of regions with a high % G/C (GC-clamps); secondary structure of the probes and/or the target nucleic acid sequence etc. According to the invention, care has to be taken that either hybridisation of each probe is complete, or that hybridisation of none of the probes is complete. Hybridization of the probes to the target nucleic acid sequences is concentration dependent and is typically performed in a small volume in the order of 8 μL. and at temperatures of 50-65° C. in order to prevent hybridization of probes to non specific targets. In order to prevent evaporation the use of a thermocycler with heated lid is preferred.

In some embodiments, the cDNA sample is incubated with the pairs of probes and optionally with the competitor probed for of about 60 min but longer time can also convenient.

Typically, the ligation step iii) is performed with a thermostable nucleic acid ligase active at temperatures of 50° C. or higher, but capable of being rapidly inactivated above approximately 95° C. Once probes are connected it is preferred that essentially no connecting activity is present during amplification since this is not required and can only introduce ambiguity in the method. Since the subsequently amplification steps usually require repeated denaturation of template nucleic acid at temperatures above 95° C. it is preferred to remove the connecting activity through said heat incubation. In order to prevent hybridisation of probes to sequences only partially complementary it is particularly recommended to perform the ligation reaction at temperatures of at least 50° C. The present invention therefore in one aspect provides a method wherein ligation of probes annealed to a target nucleic acid is performed by a thermostable nucleic acid ligation enzyme, i.e. with an activity optimum higher than at least 50° C., under suitable conditions, wherein at least 95% of the ligation activity of the said ligation enzyme is inactivated by incubating for example said sample for 10 minutes at a temperature of approximately 95° C.

Typically, the ligase is selected from the group consisting of DNA ligases. DNA ligases are enzymes capable of forming a covalent phosphate link between two oligonucleotides bound at adjacent sites on a complementary strand. These enzymes use either NAD or ATP as a cofactor to seal nicks in ds DNA. Alternatively chemical autoligation of modified DNA-ends can be used to ligate two oligonucleotides bound at adjacent sites on a complementary strand (Xu, Y. & Kool, E. T. (1999), Nucleic Acid Res. 27, 875-881). Both chemical as well as enzymatic ligation is much more efficient on perfectly matched probe-target nucleic acid complexes compared to complexes in which one or both of the oligonucleotides form a mismatch with the target nucleic acid at, or close to the ligation site (Wu, D. Y. & Wallace, R. B. (1989) Gene, 76, 245-254; Xu, Y. & Kool, E. T. (1999), Nucleic Acid Res. 27, 875-881).

In some embodiments, a ligase is used that remains active at 50-65° C. for prolonged times, but which can be easily inactivated at the higher temperatures used during a PCR reaction. The only ligases commercially available at the moment are enzymes that function only at temperatures below 50° C. such as the DNA ligase encoded by E. coli and by phage T4, and thermostable enzymes that have a half-life of more than 30 minutes at temperatures of 95° C. such as the DNA ligase encoded by Thermus aquaticus. For example, the ligase is “Ligase 65” which is commercially available from MRC Holland. Ligase-65 is active at 60-65° C. In contrast to Tth- and Taq DNA ligase however, the activity of ligase-65 is destroyed more than 90% by incubation in the optimum reaction buffer for 10 minutes at 95° C.

The ligation step is usually carried out in a relatively small volume of 40 μl, although larger volumes, as well as increase of volume of the reaction mixture in subsequent reaction steps are tolerated.

In some embodiments, the duration of the ligation step ranges from 10 min to 30 min. Typically, the duration of the step is about 15 min.

According to the invention, amplification is initiated by incubating the sample with an amount of a first primer (U1) specific for the tail region (TL) and an amount of a second primer (U2) specific for the tail region (TR).

As used herein, the term “primer” refers to an oligonucleotide, whether occurring naturally as in a purified restriction digest or produced synthetically, which is capable of acting as a point of initiation of nucleic acid sequence synthesis when placed under conditions in which synthesis of a primer extension product which is complementary to a nucleic acid strand is induced, i.e. in the presence of different nucleotide triphosphates and a polymerase in an appropriate buffer (“buffer” includes pH, ionic strength, cofactors etc.) and at a suitable temperature. One or more of the nucleotides of the primer can be modified for instance by addition of a methyl group, a biotin or digoxigenin moiety, a fluorescent tag or by using radioactive nucleotides. A primer sequence need not reflect the exact sequence of the template. For example, a non-complementary nucleotide fragment may be attached to the 5′ end of the primer, with the remainder of the primer sequence being substantially complementary to the strand.

In some embodiments, the pair of primers is ILLU1 (SEQ ID NO: 84) (GGGTTCCCTAAGGGTTGGA) and ILLU2 (SEQ ID NO: 85) (GTGCCAGCAAGATCCAATCTAGA).

Typically, the primer (e.g. ILLU2) of the present invention is labelled at its 5′ end with a fluorophore. Suitable fluorophores include, but are not limited to, 5- or 6-carboxyfluorescein (FAM™); ALEXA FLUOR®405, 430, 488, 532, 546, 555, 568, 594, 633, 647 , or 660; Cy2; Cy3; Cy3.5; Cy5; Cy5.5; Cy7; hydroxycoumarin; methoxycoumarin; aminocoumarin; fluorescein; HEX; R-phycoerythrin; rhodamine Red-X; ROX; Red 613; TEXAS RED®; allophycocyanin; TruRed; BODIPY® 630/650; BODIPY® 650/665; BODIPY®-FL; BODIPY®-R6G; BODIPY®-TMR; BODIPY®-TRX; carboxyfluorescein; CASCADE BLUE®; 6-JOE; Lissamine rhodamine B; OREGON GREEN® 488, 500 , or 514; PACIFIC BLUE®; REG; Rhodamine Green; SpectrumAqua; TAMRA; TET; and Tetramethylrhodamine.

As used herein, “amplification” refers to the increase in the number of copies of a particular nucleic acid. Copies of a particular nucleic acid made in vitro in an amplification reaction are called “amplicons” or “amplification products”.

Accordingly, following the ligation reaction, the ligated probed can be amplified with the use of two primers, dNTP's and a polymerase, one primer being complementary to one of the sequence tail region and the other primer corresponding in sequence to the second tail region.

As explained above, although it is possible for the first probe of different pair of probes to have different tail region sequences, implicating that a plurality of different first primers are to be used in the amplification step it is highly preferred that the first tail regions of the first probes of the different pair of probes are identical, so that only one first primer has to be used in the amplification reaction. A bias in the amplification due to a difference in the sequence of different primers used for the amplification can thus be completely avoided, resulting in a substantially uniform amplification for all probe assemblies. According to the invention it is however also possible that a number of first nucleic acid probes comprise the same tail region, whereas first probes belonging to another pair of probes may comprise another first tail region.

The preferred method for amplification is PCR. The typical conditions include a sufficiently long elongation time and the presence of a higher concentration of Taq polymerase than in ordinary PCR reactions. Other amplification methods than PCR such as NASBA or 3SR (Guatelli et al., Proc. Natl. Acad. Sci. USA 87:1874-1878, 1990) can also be used in combination with the current invention.

In some embodiments, the ligase and the polymerase are added simultaneously and wherein the ligase is active at moderate temperatures and is inactivated at high temperatures whereas the polymerase is activated only after the heating step.

As the buffer composition during the ligation reaction is very similar to a standard PCR buffer, it is possible to use the complete volume of the ligation reaction and start the amplification reaction by the addition of primers, dNTP's, a small amount of a non-ionic detergent such as 0.01% triton X-100 and a heat stable polymerase such as Taq polymerase. The presence of other compounds such as betaine, are known to improve some multiplex PCR amplification reactions and do not severely inhibit the ligation reaction.

For most experiments it is advantageous to use PCR conditions that prevent a bias in the amplification of some amplicons. Important in this respect is that the concentrations of the amplicons during the later stages of the amplification reaction do not reach very high concentrations. This can be accomplished by using only low amounts of one of the PCR primers. A bias in the amplification of some amplicons will be due to faster renaturation kinetics of some amplicons after each denaturation cycle and displacement of PCR primers by the complementary strand of the amplicon. Important in this respect is also the nature of the first nucleotide following the PCR primer, G or C being the preferred first nucleotides. This displacement can be reduced when using PCR primers containing one or more LNA residues at their 3′ end. LNA (Locked Nucleic Acids) residues have an improved thermostability of duplexes towards complementary DNA strands (Wahlestedt, C. Et al. Proc. Natl. Acad. Sci. USA 97, 5633-38).

In some embodiments, it is advantageous to use PCR conditions that promote the amplification of rare templates as compared to the amplification of more abundant templates in order to obtain amplifications of almost equal intensity for the different nucleic acid target sequences. These PCR conditions typically include: (1) The use of higher salt concentrations which promote the hybridization of complementary strands and reduce the polymerase activity; (2) High concentrations of primers (3) Reduced hybridization/extension temperatures during the last PCR-cycles; (4) Additives to the PCR buffer such as betaine and DMSO.

Typically, the molar ratio between the primer and the probe is preferably at least 200, more preferably at least 500, even more preferably at least 1000 and most preferably at least 2000. The higher the said ratio, the more different primer sets for the detection of a corresponding number of different amplicons can be used. However, as indicated above, unspecific amplification reactions as a result of high primer concentrations is to be avoided. Thereto, the primer concentration preferably is below 50 pMoles, more preferably below 20 pMoles in a reaction volume of 10-100 μl. The amplification step is usually performed in a volume of 20-150 μl; for this, the optionally smaller volume of the reaction mixture in the ligation step is usually completed to the desired volume for the amplification by adding the additional ingredients for the amplification reaction.

In some embodiments, the duration of the amplification step ranges from 60 min to 120 min. Typically, the duration of the step is about 90 min.

Any method well known in the art can be used for detecting and quantifying the amount of the amplicons. Typically, fluorescent primers are used along with a fluorescent detection system. Detection of fluorescence during the thermal cycling process can be performed for instance with the use of a capillary electrophoresis analyzer. In capillary electrophoresis, the lengths of amplicons are examined by allowing them to migrate through a thin tube filled with gel and measuring a period of time required for the sample to migrate a certain distance (e.g., to the end of a capillary). Upon capillary electrophoresis, it is usual to detect the amplicon using a fluorescence signal detector that is installed at the end of a capillary. Apparatuses for carrying out capillary electrophoresis are well-known. Many references are available describing the basic apparatus and several capillary electrophoresis instruments are commercially available, e.g., from Applied Biosystems (Foster City, Calif.). Exemplary references describing capillary electrophoresis apparatus and their operation include Jorgenson, Methods 4:179-90 (1992); Colburn et al., Applied Biosystems Research News, issue 1 (winter 1990); and the like.

In some embodiments, the duration of the step for detecting and quantifying the amplicons ranges from 15 min to 45 min. Typically, the duration of the step is about 30 min.

In some embodiments, the method of the present invention further comprises a step consisting of calculating a score which represents the probability that the DLBCL belongs to a particular class (ABC vs GCB).

As described in the EXAMPLE, the score may result from an adaptation of the Linear Predictor Score (LPS) defined by Wright et al (Wright et al. Proc Natl Acad Sci USA. 2003 Aug. 19; 100(17):9991-6) and a Bayesian predictor. The skilled artisan can indeed adopt the assumption that the distributions of the scores within the GCB and ABC groups follow normal distributions, which allows estimating the probability for each case to belong to one or the other subtype. To balance the over-weighting of the most highly expressed genes (a marginal phenomenon in heavily normalized and log-transformed values used in Wright's publication which is no longer negligible with the linear scaled values manipulated here), scaling factors can be applied to account for the differences in expression ranges between the different genes by dividing all t statistics by the mean expression of their corresponding genes in the training series.

In some embodiments, the score (LPS) is calculated via the formula:

${{LPS}(X)} = {{\sum\limits_{{\mathcal{g}} \in G}{\left( {\frac{t_{\mathcal{g}}}{m_{\mathcal{g}}}*X_{\mathcal{g}}} \right)\mspace{14mu}{wherein}\mspace{14mu} X_{\mathcal{g}}}} = \frac{H_{\mathcal{g}}}{\frac{1}{n}*{\sum\limits_{j \in J}H_{j}}}}$ and wherein G represents the set of 10 GCB-ABC genes, J represents the set of n=14 measured genes, t_(g) represents the t statistics generated by a t-test for the difference in expression of gene g between GCB and ABC cases in the training series, m_(g) represents the arithmetic mean of gene expressions for gene g in the training series and X_(g) represents the gene expression of gene g in the considered sample. The gene expression X_(g) of gene g in a given sample is computed as the maximal height H_(g) of the fluorescence peak measured for gene g divided by the arithmetic mean of the 14 peaks measured for the considered sample.

In some embodiments, the t_(g) and m_(g) values are defined according to Table A:

TABLE A Gene (g) t_(g) m_(g) NEK6 −6.09456 0.37762 MYBL1 −4.00549 0.30712 LMO2 −8.80942 0.79006 TACI 4.46992 0.41455 TNFRSF9 −2.50028 0.34052 BCL6 −3.16453 0.44348 CCND2 2.7198 0.70859 IRF4 5.35073 1.95678 IGHM 5.0939 2.87208 FOXP1 2.67211 1.63401

In some embodiments, the method of the present invention further comprises the steps of comparing the score (LPS) with scores obtained with the same method in a training series of GCB and ABC cases classified by a reference method, and compute for each sample the likelihood to belong to the GCB and ABC groups:

${P\left( {X \in {ABC}} \right)} = \frac{\Phi\left( {{{LPS}(X)},{\hat{\mu}}_{ABC},{\hat{\sigma}}_{ABC}^{2}} \right)}{{\Phi\left( {{{LPS}(X)},{\hat{\mu}}_{ABC},{\hat{\sigma}}_{ABC}^{2}} \right)} + {\Phi\left( {{{LPS}(X)},{\hat{\mu}}_{GCB},{\hat{\sigma}}_{GCB}^{2}} \right)}}$ P(X ∈ GCB) = 1 − P(X ∈ ABC) wherein Φ(x, μ, σ²) represents the probability density function of a normal distribution of mean μ and standard deviation σ², μ_(ABC) and μ_(GCB) represent respectively the arithmetic means of the LPS scores in the ABC and GCB cases of the training series, σ² _(ABC) and σ² _(GCB) represent respectively the standard deviations of the LPS scores in the ABC and GCB cases of the training series. Samples for which the probability to belong to the ABC group is higher than a predetermined confidence threshold (e.g. 90%) are finally classified ABC, and respectively for the GCB group. Samples that fail to classify as one of these two groups are termed “unclassified”. In some embodiments, the μ and σ² values are determined as described in Table B:

TABLE B ABC GCB μ 18.72886 −33.53634 σ² 10.21838 18.12447

The method of the present invention is thus particularly suitable for determining whether a subject is eligible or not to a treatment. Treatments of DLBCL are well known in the art (Mark Roschewski, Louis M. Staudt and Wyndham H. Wilson. Diffuse large B-cell lymphoma—treatment approaches in the molecular era. Nat. Rev. Clin. Oncol. 11, 12-23 (2014)). Basal treatment includes administering the subject with cyclophosphamide, doxorubicin, vincristine, prednisone and ritxumimab (R-CHOP) or with etoposide, doxorubicin, cyclophosphamide, vincristine, prednisone and rituximab (DA-EPOCH-R). Subjects with GCB DLBCL have better prognoses than those with ABC DLBCL when treated with R-CHOP or with DA-EPOCH-R. Histone-lysine N-methyltransferase EZH2 (EZH2) inhibitors (e.g. GSK126 and E11 E7438) could be particularly suitable for the treatment of GCB DLBCL. Inhibitors of PI3K/Akt/mTOR pathway (e.g. LY294002, Everolimus, temsirolimus, Idelalisib also known as CAL-101 or MK-2206) could be particularly suitable for the treatment of GCB DLBCL. BCL2 inhibitors (e.g. Navitoclax (ABT-263), ABT-199, or ABT-737) could be particularly suitable for the treatment of GCB DLBCL. BCL6 inhibitors (e.g. small-molecule inhibitor 79-6) could be particularly suitable for the treatment of GCB DLBCL. Inhibitors of NF-κB pathway could be particularly suitable for the treatment of ABC DLBCL. Inhibitors of NF-κB pathway typically include but are not limited to inhibitors of the IκB kinase (IKK) and inhibitors of proteasome (e.g. Bortezomib, Carfilzomib). For instance Bortezomib plus DA-EPOCH (or R-CHOP) resulted in higher response rates and survival in patients with ABC DLBCL compared with GCB DLBCL. Lenalidomide, could also be particularly suitable for the treatment of ABC DLBCL. Ibrutinib, formerly PCI-32765, which is an oral small-molecule inhibitor that selectively and irreversibly inhibits Bruton tyrosine kinase (BTK) through covalent binding via cysteine-481 could be also particularly suitable for the treatment of ABC DLBCL. Enzastaurin or Sotrastaurin which is are inhibitors of PKC-β could be particularly suitable for the treatment of ABC DLBCL. Inhibitors of JAK-1 and JAK-2 (e.g. Ruxolitinib) could also be particularly suitable for the treatment of ABC DLBCL.

In some embodiments, the method of the present invention is not only particularly suitable for classifying the subject's DLBCL into a GCB-DLBCL or into a ABC-DLBCL but also can also be suitable for determining whether the subject will achieve a response with an anti-CD20antibody if the expression level of MS4A1is included in the RT-MPLPA assay. Examples of antibodies specific for CD20 antigen include: “C2B8” which is now called “Rituximab” (“RITUXAN®”) (U.S. Pat. No. 5,736,137, expressly incorporated herein by reference), a chimaeric pan-B antibody targeting CD20; the yttrium-[90]-labeled 2B8murine antibody designated “Y2B8” or “Ibritumomab Tiuxetan” ZEVALIN®(U.S. Pat. No. 5,736,137, expressly incorporated herein by reference), a murine IgG1 kappa mAb covalently linked to MX-DTPA for chelating to yttrium-[90]; murine IgG2a “B1,” also called “Tositumomab,” optionally labeled with radioactive 131 1 to generate the “I 31I-B1” antibody (iodine 131tositumomab, BEXXAR™) (U.S. Pat. No. 5,595,721, expressly incorporated herein by reference); murine monoclonal antibody “1F5” (Press et al. Blood 69(2):584-591(1987) and variants thereof including “framework patched” or humanized 1 F5 (W 003/002607, Leung, S.; ATCC deposit HB-96450); murine 2H7and chimeric 2H7antibody (U.S. Pat. No. 5,677,180, expressly incorporated herein by reference); humanized 2H7, also known as ocrelizumab (PRO-70769); Ofatumumab (ARZERRA®), a fully human IgG1against a novel epitope on CD20huMax-CD20(GENMAB®, Denmark; WO2004/035607(U.S. 10/687,799, expressly incorporated herein by reference)); AME-133(ocaratuzumab; Applied Molecular Evolution), a fully-humanized and optimized IgG1 mAb against CD20; A20antibody or variants thereof such as chimeric or humanized A20 antibody (cA20, hA20, respectively) (U.S. 10/366,709, expressly incorporated herein by reference, IMMUNOMEDICS®); and monoclonal antibodies L27, G28-2, 93-1B3, B-CI or NU-B2available from the International Leukocyte Typing Workshop (Valentine et al, In: Leukocyte Typing III (McMichael, Ed., p. 440, Oxford University Press (1987)). Further, suitable antibodies include e.g. antibody GA101(obinutuzumab), a third generation humanized anti-CD20-antibody of BIOGEN IDEC®/GENENTECH®/ ROCHE®. Moreover, BLX-301of Biolex Therapeutics, a humanized anti CD20with optimized glycosylation or Veltuzumab (hA20), a 2nd-generation humanized anti-CD20antibody of IMMUNOMEDICS® or DXL625, derivatives of veltuzumab, such as the bispecific hexavalent antibodies of IBC Pharmaceuticals (IMMUNOMEDICS®) which are comprised of a divalent anti-CD20 IgG of veltuzumab and a pair of stabilized dimers of Fab derived from milatuzumab, an anti-CD20mAb enhanced with InNexus' Dynamic Cross Linking technology, of Inexus Biotechnology both are humanized anti-CD20antibodies are suitable. Further suitable antibodies are BM-ca (a humanized anti-CD20antibody (Int J Oncol. 201 1Feb;38(2):335-44)), C2H7(a chimeric anti-CD20antibody (Mol Immunol. 2008May;45(10):2861-8)), PRO131921(a third generation anti-CD20antibody developed by GENENTECH®), Reditux (a biosimilar version of rituximab developed by Dr Reddy's), PBO-326(a biosimilar version of rituximab developed by Probiomed), a biosimilar version of rituximab developed by Zenotech, TL-01 1(a biosimilar version of rituximab developed by TEVA®), CMAB304(a biosimilar version of rituximab developed by Shanghai CP Guojian), GP-2013(a biosimilar version of rituximab developed by SANDOZ® (NOVARTIS®)), SAIT-101(a biosimilar version of rituximab developed by SAMSUNG BIOLOGICS®), a biosimilar version of rituximab developed by INTAS BIOPHARMACEUTICALS®, CT-P10(a biosimilar version of rituximab developed by CELLTRION®), a biosimilar version of rituximab developed by BIOCAD®, Ublituximab (LFB-R603, a transgenically produced mAb targeting CD20 developed by GTC Biotherapeutics (LFB Biotechnologies)), PF-05280586 (presumed to be a biosimilar version of rituximab developed by PFIZER®), Lymphomun (Bi-20, a trifunctional anti-CD20and anti-CD3antibody, developed by Trion Pharma), a biosimilar version of rituximab developed by Natco Pharma, a biosimilar version of rituximab developed by iBio, a biosimilar version of rituximab developed by Gedeon Richter/Stada, a biosimilar version of rituximab developed by Curaxys, a biosimilar version of rituximab developed by Coherus Biosciences/ DAIICHI SANKYO®, a biosimilar version of rituximab developed by BIOXPRESS®, BT-D004(a biosimilar version of rituximab developed by Protheon), AP-052(a biosimilar version of rituximab developed by Aprogen), a biosimilar version of ofatumumab developed by BIOXPRESS®, MG-1 106(a biosimilar version of rituximab developed by Green Cross), IBI-301(a humanized monoclonal antibody against CD20developed by Innovent Biologies), BVX-20(a humanized mAb against the CD20developed by VACCINEX®), 20-C2-2b (a bispecific mAb-IFNalpha that targets CD20and human leukocyte antigen-DR (HLA-DR) developed by IMMUNOMEDICS®), MEDI-552 (developed by MEDLMMUNE®/ ASTRAZENECA®), the anti-CD20/streptavidin conjugates developed by NeoRx (now Poniard Pharmaceuticals), the 2nd generation anti-CD20human antibodies developed by Favrille (now MMRGIobal), TRU-015, an anti-CD20 antibody fragment developed by Trubion/ EMERGENT BIOSOLUTIONS®.

The method of the present invention is particularly suitable for predicting the survival time of the subject when the assay also comprises means for determining the expression of MYC and/or BCL2. In some embodiments, the expression level(s) of MYC and/or BCL2 is (are) compared with their respective predetermined reference values wherein when the expression level(s) MYC and/or BCL6 is (are) higher than their respective predetermined reference values, it is concluded that the subject will have a poor prognosis (i.e. the duration of the disease-free survival (DFS) or the overall survival (OS) or both).

The present invention also relates to a kit for performing the method of the present invention.

In some embodiments, the kit comprises 14 pairs of probes specific for the 14 target nucleic sequences of NEK6, IRF4, IGHM, CCND1, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2, MYC, MYBL1, BCL2, and MS4A1, wherein each pair of probes consists of:

-   -   a first probe having         -   a target specific region (L) complementary to the first             segment of the target nucleic acid sequence and         -   a tail region (TL) at the 3′ extremity of the target             specific region (L) which is non-complementary to said             target nucleic acid sequence,     -   a second probe having         -   a target specific region (R) complementary to the second             segment of the target nucleic acid sequence and,         -   a tail region (TR) at the 5′ extremity of the target             specific region (R) which is non-complementary to said             target nucleic acid sequence

In some embodiments, the kit comprises a pair of probes specific for NEK6 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:15 (CCTGTGCATCCTCCTGACCCACAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:16 (AGGCATCCCAACACGCTGTCTTT).

In some embodiments, the kit comprises a pair of probes specific for IRF4 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:17 (CTGCCGAAGCCTTGGCGTTCTCAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:18 (ACTGCCGGCTGCACATCTGCCTGTA).

In some embodiments, the kit comprises a pair of probes specific for IGHM which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:19 (GCGTCCTCCATGTGTGGCCCCG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:20 (ATCAAGACACAGCCATCCGGGTCTTC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for CCND1 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:21 (ACCTTCGTTGCCCTCTGTGCCACAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:22 (ATGTGAAGTTCATTTCCAATCCGCCCT).

In some embodiments, the kit of the present invention comprises a pair of probes specific for LMO2 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:23 (CGGAAGCTCTGCCGGAGAGACTATCTCAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:24 (GCTTTTTGGGCAAGACGGTCTCTGC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for FOXP1 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:25 (CCCTTCCCCTTCAACCTCTTGCTCAAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:26 (GCATGATTCCAACAGAACTGCAGCAGC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for TNFRSF9 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:27 (GGACCTGTGACATATGCAGGCAGTGTAAAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:28 (GTGTTTTCAGGACCAGGAAGGAGTGTTCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for BCL6 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:29 (CATAAAACGGTCCTCATGGCCTGCAG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:30 (TGGCCTGTTCTATAGCATCTTTACAGACCAGTTG).

In some embodiments, the kit of the present invention comprises a pair of probes specific for TNFRSF13B which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:31 (GCGCACCTGTGCAGCCTTCTGCA) and a second probe having its target specific region (R) as set forth by SEQ ID NO:32 (GGTCACTCAGCTGCCGCAAGGAGC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for CCND2 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:33 (GACCTTCATTGCTCTGTGTGCCACCG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:34 (ACTTTAAGTTTGCCATGTACCCACCGTCGA).

In some embodiments, the kit of the present invention comprises a pair of probes specific for MYC which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:35 (TCGGGTAGTGGAAAACCAGCAGCCTC) and a second probe having its target specific region (R) as set forth by SEQ ID NO:36 (CCGCGACGATGCCCCTCAACGTTA).

In some embodiments, the kit of the present invention comprises a pair of probes specific for MYBL1 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:37 (CCAGAATTTGCAGAGACTCTAGAACTTATTGAATCT) and a second probe having its target specific region (R) as set forth by SEQ ID NO:38 (GATCCTGTAGCATGGAGTGACGTTACCAGTTTT).

In some embodiments, the kit of the present invention comprises a pair of probes specific for BCL2 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:39 (CCTGGATCCAGGATAACGGAGGCTGG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:40 (GATGCCTTTGTGGAACTGTACGGCC).

In some embodiments, kit of the present invention comprises a pair of probes specific for MS4A1 which consists of a first probe having its target specific region (L) as set forth by SEQ ID NO:41 (TTCTTCATGAGGGAATCTAAGACTTTGGGG) and a second probe having its target specific region (R) as set forth by SEQ ID NO:42 (GCTGTCCAGATTATGAATGGGCTCTTCCAC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for NEK6 which consists of a first probe which is SEQ ID NO:53 (GTGCCAGCAAGATCCAATCTAGACCTGTGCATCCTCCTGACCCACAG) and a second probe which is SEQ ID NO:55 (AGGCATCCCAACACGCTGTCTTTTCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for IRF4 which consists of a first probe which is SEQ ID NO:56 (GTGCCAGCAAGATCCAATCTAGATCTGCCGAAGCCTTGGCGTTCTCAG) and a second probe which is SEQ ID NO:57 (ACTGCCGGCTGCACATCTGCCTGTATCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for IGHM which consists of a first probe which is SEQ ID NO:58 (GTGCCAGCAAGATCCAATCTAGATGCGTCCTCCATGTGTGGCCCCG) and a second probe which is SEQ ID NO:59 (ATCAAGACACAGCCATCCGGGTCTTCTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for CCND1 which consists of a first probe which is SEQ ID NO:60 (GTGCCAGCAAGATCCAATCTAGATACCTTCGTTGCCCTCTGTGCCACAG) and a second probe which is SEQ ID NO:61 (ATGTGAAGTTCATTTCCAATCCGCCCTTACTTCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for LMO2 which consists of a first probe which is SEQ ID NO:62 (GTGCCAGCAAGATCCAATCTAGACGGAAGCTCTGCCGGAGAGACTATCTCAG) and a second probe which is SEQ ID NO:63 (GCTTTTTGGGCAAGACGGTCTCTGCTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for FOXP1 which consists of a first probe which is SEQ ID NO:64 (GTGCCAGCAAGATCCAATCTAGACCCTTCCCCTTCAACCTCTTGCTCAAG) and a second probe which is SEQ ID NO:65 (GCATGATTCCAACAGAACTGCAGCAGCTACTACTACTCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for TNFRSF9 which consists of a first probe which is SEQ ID NO:66 (GTGCCAGCAAGATCCAATCTAGATACGGACCTGTGACATATGCAGGCAGTGTAAAG) and a second probe which is SEQ ID NO:67 (GTGTTTTCAGGACCAGGAAGGAGTGTTCCTACTCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for BCL6 which consists of a first probe which is SEQ ID NO:68 (GTGCCAGCAAGATCCAATCTAGATACTACTCATAAAACGGTCCTCATGGCCTGCAG) and a second probe which is SEQ ID NO:69 (TGGCCTGTTCTATAGCATCTTTACAGACCAGTTGTCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for TNFRSF13B which consists of a first probe which is SEQ ID NO:70 (GTGCCAGCAAGATCCAATCTAGATACTACTACTAGCGCACCTGTGCAGCCTTCTGCA) and a second probe which is SEQ ID NO:71 (GGTCACTCAGCTGCCGCAAGGAGCTACTACTACTACTCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for CCND2 which consists of a first probe which is SEQ ID NO:72 (GTGCCAGCAAGATCCAATCTAGATACTACTGACCTTCATTGCTCTGTGTGCCACCG) and a second probe which is SEQ ID NO:73 (ACTTTAAGTTTGCCATGTACCCACCGTCGATACTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for MYC which consists of a first probe which is SEQ ID NO:74 (GTGCCAGCAAGATCCAATCTAGATACTACTACTTCGGGTAGTGGAAAACCAGCAGCCTC) and a second probe which is SEQ ID NO:75 (CCGCGACGATGCCCCTCAACGTTATACTACTACTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for MYBL1 which consists of a first probe which is SEQ ID NO:76 (GTGCCAGCAAGATCCAATCTAGACCAGAATTTGCAGAGACTCTAGAACTTATTGAATCT) and a second probe which is SEQ ID NO:77 (GATCCTGTAGCATGGAGTGACGTTACCAGTTTTTACTACTTCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for BCL2 which consists of a first probe which is SEQ ID NO:78 (GTGCCAGCAAGATCCAATCTAGATACTACTACTACCCTGGATCCAGGATAACGGAGGCTGG) and a second probe which is SEQ ID NO:79 (GATGCCTTTGTGGAACTGTACGGCCTACTACTACTACTACTTCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises a pair of probes specific for MS4A1 which consists of a first probe which is SEQ ID NO:80 (GTGCCAGCAAGATCCAATCTAGATACTACTACTATTCTTCATGAGGGAATCTAAGACTTTGGGG) and a second probe which is SEQ ID NO:81 (GCTGTCCAGATTATGAATGGGCTCTTCCACTACTACTACTATCCAACCCTTAGGGAACCC).

In some embodiments, the kit of the present invention comprises at least one competitor probe specific for specific for NEK6 or IRF4.

In some embodiments, the kit of the present invention comprises a competitor probe specific for NEK6 which is SEQ ID NO:82 (AGGCATCCCAACACGCTGTCTTT).

In some embodiments, the kit of the present invention comprises a competitor probe specific for IGHM which is SEQ ID NO:83 (ATCAAGACACAGCCATCCGGGTCTTC).

In some embodiments, the kit of the present invention comprises the probes SEQ ID NO:54-73 and the competitor probes SEQ ID NO:82-83.

In some embodiments, the kit of the present invention comprises the random hexamer primers suitable for the cDNA synthesis as above described.

In some embodiments, the kit of the present invention comprises any mean suitable for performing the ligation step. In particular the kit of the invention comprises a ligase as above described.

In some embodiments, the kit of the present invention comprises any means suitable for performing the amplification step as above described. In particular, the kit of the present invention comprises at least one pair of primers as above described. In some embodiments, the pair of primers is ILLU1 (SEQ ID NO: 84) (GGGTTCCCTAAGGGTTGGA) and ILLU2 (SEQ ID NO: 85) (GTGCCAGCAAGATCCAATCTAGA). The kit of the present invention may further comprises buffer, dNTP's, detergents, a polymerase such as Taq polymerase or any further agent such as betaine.

In some embodiments, the kit of the invention comprises any means for calculating the score as above described. In particular, the kit of the present invention may further comprise a software suitable for calculating the score as above described and optionally interpreting the results so as to determine how the DLCL of the subject shall be classified.

The present invention relates to software that can be implemented on any system (e.g. a computer) for calculating the score as above described and optionally interpreting the results so as to determine how the DLCL of the subject shall be classified.

The invention will be further illustrated by the following figures and examples. However, these examples and figures should not be interpreted in any way as limiting the scope of the present invention.

FIGURES

FIG. 1A and B: Description of the analyzed cohorts.

General structure and overlaps between the different cohorts are indicated, along with their main characteristics (sample count, material type, GEP standard when available). Cohorts from our institution (A) are separated from the external cohort (B) to highlight their independence.

FIG. 2: Representative RT-MLPA profiles.

RT-MLPA profiles generated by the dedicated software are presented for two representative samples (GCB in the upper panel, ABC in the lower panel). For each sample, a fragment-analysis profile (intensity of fluorescence as a function of the PCR fragment sizes) is provided in the left panel, with intervals scanned for gene-related peaks highlighted by various colors (blue for ABC-related genes, orange for GCB-related genes, green for the MS4A1 internal control, and grey for other diagnostically or prognostically relevant genes). Size markers, as used for alignment of profiles and fragment size estimation (ROX channel), are displayed using dotted lines indicating their theoretical size. The right panel illustrates the prediction made by the RT-MLPA predictor, showing the superposition of the score of the sample on the theoretic distributions of scores in the ABC and GCB subgroups.

FIG. 3A-C: RT-MLPA predictor training and validation.

(A) The scores of the GCB and ABC samples of the training series are presented as vertical bars, beneath the estimated density functions used in the prediction model. (B) and (C) present the expression of the 8 genes included in the GCB-ABC predictor in the training (B) and validation (C) series as heat maps, along with the expected classes computed using the DASL technology (middle panel) and the predicted probability to belong to each of the groups (top panel). Samples (columns) are ordered by ascending RT-MLPA scores, while genes (rows) are ordered by their discriminating power (t statistics displayed on the right). Black vertical bars split samples according to the group they are predicted to belong to (GCB, unclassified and ABC from left to right).

FIG. 4: RT-MLPA predictor independent validation on Affymetrix samples

The expression of the 8 genes included in the GCB-ABC predictor in an independent series of 64 frozen samples is presented as a heat map, along with the expected classes computed using Affymetrix U133+2 arrays (middle panel) and the predicted probability of belonging to each of the groups (top panel). Samples (columns) are ordered by ascending RT-MLPA scores, while genes (rows) are ordered by their discriminating power (t statistics displayed on the right). Black vertical bars split samples according to the group they are predicted to belong to (GCB, unclassified and ABC from left to right).

FIG. 5A and B: RT-MLPA predictor performances in FFPE samples.

The expression of the 8 genes included in the GCB-ABC predictor in a series of 28 FFPE samples is presented as a heat map, along with the expected classes computed using the DASL technology on matching frozen samples (middle panel) and the predicted probability of belonging to each of the groups (top panel). The samples (columns) are ordered by ascending RT-MLPA scores, while the genes (rows) are ordered by their discriminating power (t statistics displayed on the right). The black vertical bars split samples according to the group they are predicted to belong to (GCB, unclassified and ABC from left to right).

FIG. 6: RT-MLPA predictor performances as compared to IHC.

The expression of the 8 genes included in the GCB-ABC predictor in a series of 100 frozen samples is presented as a heat map, along with Hans' immunohistochemical algorithm results (middle panel), and the predicted probability of belonging to each of the groups (top panel). Samples (columns) are ordered by ascending RT-MLPA scores, while genes (rows) are ordered by their discriminating power (t statistics displayed on the right). Black vertical bars split samples according to the group they are predicted to belong to (GCB, unclassified and ABC from left to right).

FIG. 7A-E: Patient outcomes according to RT-MLPA-based grouping.

Progression-free (left column) and overall survival (right column) of a series of 135 patients treated with a combination of rituximab and chemotherapy are presented according to various grouping factors: GCB-ABC subgroup, as predicted by RT-MLPA (A), LMO2 (B), BCL6 (C) and TNFRSF13B (D) expressions as measured by RT-MLPA according to their respective medians, MYC+ BCL2+ against the rest of the cohort (E), defined by an RT-MLPA expression higher than 1.284 for MYC and 0.256 for BCL2. Raw log-rank p-values are displayed on the respective legend panels.

FIG. 8: Workflow of the RT-MLPA experimental procedure.

The procedure for the preparation of the RT-MLPA probes and competitor mix is described in the upper panel. Following this protocol, the final mix allows testing more then 600 samples, and the concentrated mix more than 6000 samples. The experimental workflow, which consists of four steps, specifically, Reverse transcription, Hybridization, Ligation and PCR/analysis, is detailed in the lower panel.

FIG. 9A-C: Reproducibility and robustness of the RT-MLPA predictor.

The RT-MLPA scores obtained for 10 replicates of two frozen samples (RNA 9260 and 9402, GCB and ABC respectively) are plotted on their modelized distributions in the GCB and ABC subgroups (A). The same representation is shown (B) for the 12 serial dilutions of sample 9402, with an obvious outlier (12th dilution, corresponding to less than 1 ng of RNA) highlighted in red. Raw (C) and normalized (D) peak heights for the 14 genes included in the RT-MLPA predictor in the 12 serial dilutions of sample 9402 are also depicted, along with the scores and predicted probabilities to belong to the ABC subgroup (E).

EXAMPLE

Materials and Methods

Patients

A total of 259 DLBCL patients were included in this study (FIG. 1 and Table S1). All samples were obtained after receiving patient consent and this study was approved by our institutional review board. A first series of 195 patients from a single institution (Centre Henri Becquerel, Rouen, France) was used to train and validate the GCB/ABC classifier. A GCB/ABC classification previously determined using a DASL assay (cDNA-mediated Annealing, Selection, extension and Ligation method)¹⁸ was available for 115 patients. An immuhistochemical classification was available for 100 cases, and survival data for 135 of them. A second series of 64 patients included in the GHEDI study program conducted by the LYSA group and previously analyzed by gene expression profile arrays (Affymetrix U133A+2) was used as an external validation set¹⁹. For all patients, the inclusion criteria were de novo DLBCL with available RNA extracted from frozen lymph node biopsies at the time of diagnosis. The diagnoses were determined according to the WHO 2008 criteria by expert pathologists¹. Primary mediastinal diffuse large B-cell lymphomas and T-cell rich DLBCLs were excluded.

RNA Extraction

Total RNA was extracted from frozen biopsy fragments using the RNA NOW kit (Biogentex, Seabrook, Tex.). The RNA samples were subsequently stored at −80° C. in water. For 30 cases, RNA samples were extracted from formalin-fixed paraffin-embedded (FFPE) biopsies using the Absolutely RNA FFPE Kit (Agilent Technologies, La Jolla, Calif., USA).

Immunohistochemistry

To build tissue microarrays (TMA) (Alphelys, Plaisir, France), three representative cores (0.6 mm) of FFPE tissues were used for each case. Immunohistochemical staining was performed on 4 μm sections using standard procedures. Antigen retrieval was performed on PTLink (DAKO, Glostrup, Denmark) with a pH 9 buffer. CD10 (clone 56C6, 1/50e, DAKO, Glostrup, Denmark), BCL6 (clone PGB6P, 1/10e, DAKO, Glostrup, Denmark) and MUM1 (clone MUM1p, 1/100e, DAKO, Glostrup, Denmark) were stained using an AUTOSTAINER Link48 (DAKO, Glostrup, Denmark) with the envision flex system. GCB and non-GCB phenotypes were defined using the decision tree with indicated cut-offs established by Hans and colleagues²⁰.

RT-MLPA Probe Design and Mix

The RT-MLPA probes that were used are listed in Table 1. To avoid unwanted amplifications of genomic DNA, all the probes were designed across exon-exon boundaries. They are made of a gene specific region complementary to the cDNA target and of a tail to allow the final PCR amplification. All 5′ probes have a common tail at their 5′ end (GTGCCAGCAAGATCCAATCTAGA; SEQ ID NO: 43), which corresponded to the universal primer, U1. All 3′ probes have a different common tail at their 3′ end (TCCAACCCTTAGGGAACCC; SEQ ID NO: 44), which is complementary to the universal primer, U2. Additional spacers (TAC repeats) were inserted between the tails and the gene specific regions to allow the separation and the identification of the PCR products according to their size. The 3′ probes were ordered with phosphorylated 5′ ends to allow for the ligation reactions. All the RT-MLPA probes used in this study were synthetic oligonucleotides, ordered at the lowest purification grade (HPSF) and at the minimal synthesis scale (0.01 μmol for the left probes and 0.05 μmol for the right phosphorylated probes) (Eurofins MWG Operon, Ebersberg, Germany). For two genes, we also designed competitor probes identical to the MLPA probes, but without the PCR tails, which were used to normalize the amplification signals.

To prepare the MLPA probe mix, 10 μM dilutions of each probe and competitors were prepared in Tris 10 mM and EDTA 1 mM. The two competitors were mixed with their corresponding probes at a 1 (MLPA probe) to 4 (competitor) ratio for the IGHM and NEK6 genes. Then, 2 μl of each probe dilution (n=26) or (probe+competitor mix dilution) (n=2) dilution were mixed together to obtain a final volume of 56 μl. An equal volume of 1× TE was then added to obtain a volume of 112 μl. The final dilution was obtained by diluting 11.2 μl of the concentrated probe mix in a final volume of 1 ml Tris 10 mM and EDTA 1 mM buffer.

RT-MLPA Procedure

The RT-MLPA protocol was adapted from Eldering et al¹⁷. A schematic workflow of the experimental procedure is provided in FIG. 8. The most important modifications we made were the use of random hexamer primers instead of gene specific primers for cDNA synthesis, the reduction of the hybridization step from 16 to 1 hour, and the use of synthetic oligonucleotides as MLPA probes.

All RT-MLPA reactions were performed in 200 μl tubes in a thermocycler with a heated lid. Approximately one microgram of total RNAs obtained from DLBCL biopsies were first diluted in 4 μl RNAse-free water and kept on ice. After the addition of 7.5 μl of reverse transcription mix (2.5 μl 5× RT-MMLV Buffer, 1 μl DTT 100 mM, 2 μl dNTPs 10 mM and 2 μl random primers 100 μM), the samples were heated for 1 min at 80° C. to melt the secondary structure of the mRNA, incubated for 5 min at 37° C. to allow the hybridization of the random primers and cooled at 4° C. Next, 1 μl of MMLV-Reverse transcriptase was added, and the samples were incubated for 15 min at 37° C. to synthesize the cDNA, heated for 2 min at 98° C. to inactivate the enzyme and cooled at 4° C. Then, 5 μl of cDNA was transferred into a new tube, and 3 μl of a RT-MLPA probe mix (1.5 μl SALSA-MLPA Buffer+1.5 μl final dilution probe mix) were added. The samples were heated for 2 min at 95° C. and incubated for 1 h at 60° C. to allow the annealing of the MLPA probes to their cDNA targets. The ligation of the annealed oligonucleotides was performed by cooling all samples at 56° C., adding 32 μl of a ligation mix (3 μl SALSA-Ligase 65 Buffer A, 3 μL SALSA-Ligase Buffer B, 25 μl RNAse Free Water, 1 μl SALSA-Ligase 65), and incubating the mixed samples for 15 min at 56° C. The ligase enzyme was next inactivated by heating for 5 min at 98° C. For the final PCR amplification, 5 μl of each ligation product were added to 15 μl of a PCR mix (10 μl Thermo Scientific Extensor Hi-Fidelity PCR Master Mix; Thermo Scientific, 1 μl 10 μM primer U1, 1 μl 10 μM FAM-labeled primer U2, 3 μl RNAse free water). The amplification was performed with the following program: 6 min 94° C.; 35 cycles (30 sec 94° C., 30 sec 58° C., 30 sec 72° C.); 4 min 72° C.; cooled down to 16° C.

For data analysis, 1 μl of each PCR product was mixed with 1 μl of GeneScan-400 HD ROX size standard and 28 μl formamide, denatured for 3 min at 95° C., and loaded onto an ABI3130 capillary electrophoresis analyzer in GeneScan mode (Applied Biosystems, Warrington, UK). The migration settings were as follows: Pre Run Voltage 15 kV; Pre Run Time 180 sec; Injection Voltage 1 kV; Injection Time 3 sec (reduced to 1 sec when fluorescence signals were off-scale), Run Voltage 10 kV; Run Time 180 sec.

Data Processing

To facilitate the interpretation of the results, interfaced software was developed to handle the entire analysis process, from the raw fragment analyzer files (.fsa) to the sample calls and GCB/ABC probabilities. This software, which can be freely downloaded from bioinformatics.ovsa.fr/MLPA, provides a graphical representation of the profile and of the GCB/ABC classification (FIG. 2), and a table of normalized gene expressions. It consists in a Tcl-tk user interface built upon an R package (R core team, .r-project.org), both of which are freely distributed under the GNU Public License 3.

Each channel of the electrophoresis profiles is first corrected for time-related biases, using a LOWESS transformation of the signals over time. To estimate the sizes of the peaks in base pairs, the profiles are then aligned using the 50, 60, 90, 100 and 120 bp size standards. The ROX profile is smoothed using a Nadaraya-Watson Gaussian kernel, and the time indexes of local maxima are used to fit a linear model converting time indexes into base pairs. The heights of the different peaks are next measured by looking for the FAM signal maxima in size intervals that are predefined in base pairs. Both the gene and size standard windows were tuned from the graphical profiles, and made available in the software's design file (version 1.8.5). To minimize RNA quantity bias, all expression values are finally divided by the mean of all genes measured in the sample, and the base 2 logarithms of these ratios plus 1 are used as normalized expression values.

Survival Analysis

Survival analysis was restricted to the 135 patients diagnosed between 2001 and 2011 at the Centre Henri Becquerel who were treated by a combination of rituximab and chemotherapy. It was performed using the “survival” package (2.37.4) for the R software, considering an alpha risk of 5% as a significance threshold. Overall survival (OS) was computed from the day of treatment to death from any cause, or right-censored at last follow-up. Progression-free survival (PFS) was computed from the day of treatment to either disease progression, relapse or death from any cause, or right-censored at last follow-up. The survival rates were estimated using the Kaplan-Meier method providing 95% confidence intervals, and significant differences between groups were assessed by the log-rank test (α=5%). Continuous univariate analyses were performed using Cox proportional hazards regression models, and the likelihood ratio test p values and derived False Discovery Rates are reported²¹. All combinations of thresholds were tested for PFS significance of the MYC+BCL2+ subgroup, focusing on the couple of values that led to the most significant segmentation of patients²².

Statistical Analysis

Prediction accuracies and unclassified proportions are reported with 95% confidence intervals (CI) estimated by the “exact” binomial computation method, as implemented in the binom R package (version 1.1-1).

Results

Gene Selection

The candidate genes for inclusion into the GCB/ABC predictor were selected according to their differential expression in two independent series of Affymetrix U133+2 arrays. The first series consisted of 203 arrays made available by Lenz et al²³ in the GEO database (GSE11318). The second consisted of an independent series of 225 arrays classified into the GCB or ABC subtypes, following the recommendations of Wrights and col.²⁴ and a signature of 24 genes¹⁹. A LIMMA model was built for each series using R (2.15.1, LIMMA package version 3.12.3) to discriminate two groups using single-channel arrays. Genes with at least one probeset FDR <10⁻¹² in both series were selected for RT-MLPA testing, beginning with the lowest p-values. The 16 markers obtained from this initial selection are listed in Table 2.

Different combinations of genes were then tested to finalize the design and those expressed at the most comparable levels were selected. We finally retained four GCB (LMO2, MYBL1, BCL6, NEK6) and four ABC (IRF4, FOXP1, IGHM, TNFRSF13B) markers. For two genes expressed at very high levels in some samples (NEK6 and IGHM), competitor probes were used to reduce the height of the corresponding peaks in the RT-MLPA profiles. We finally included the MYC, BCL2 and TNFRSF9 genes, which were shown to be prognostic in DLBCLs, and the CCND1, CCND2 and MS4A1 (encoding CD20) genes as controls. Representative RT-MLPA profiles are presented in FIG. 2 and all gene expression values are detailed in Table S2.

Class Prediction Model

The classification of samples as GCB or ABC was achieved using an adaptation of the Linear Predictor Score (LPS) defined by Wright et al.²⁴ and a Bayesian predictor. We adopted the same assumption that the distributions of the scores within the GCB and ABC groups followed normal distributions (FIG. 3A), which allowed the estimation of the probability for each case of belonging to one or the other subtype. Scaling factors were applied to balance the over-weighting of the most highly expressed genes, a marginal phenomenon in heavily normalized values used in Wright's publication which is no longer negligible with the values manipulated here. To account for the differences in expression ranges, the T statistics that were used as gene-specific coefficients were thus further divided by the mean expressions of the corresponding genes in the training series. This correction also allowed the avoidance of the “shift and scale” normalization to Lymphochip's ranges that was suggested by the authors to adapt their model to other platforms, which may lead to incorrect calls in series with GCB/ABC distributions distinct from the original Lymphochip series. Finally, the confidence threshold to consider a sample either as GCB or ABC was changed from 90% (as recommended by the authors) to 95%, for better specificity.

The Bayesian predictor was developed using a training series of 50 randomly selected DLBCL cases previously characterized in our laboratory using a Veracode Illumina DASL assay (FIG. 1, Cohort #1) and a 17 genes signature (FIG. 3B)¹⁸. As expected, the average expressions of the eight GCB/ABC discriminant genes were significantly different between the two subtypes in this series (Table 2). The predictor classified 90% of the cases within the expected subtypes (20 GCB and 25 ABC), while 10% (1 GCB and 4 ABC) were considered unclassified (95% CIs [78%, 97%] and [3%, 22%] respectively). In a second independent validation series of 65 patients (from the same institution and characterized using the same Veracode Illumina DASL assay; FIG. 1, Cohort #2), 80% of the cases were classified within the expected subtypes (24 ABC and 28 GCB), 13.8% were considered unclassified (3 GCB and 6 ABC) and four were misclassified (95% CIs [68%, 89%] and [7%, 25%] respectively; FIG. 3C). When focusing on samples classified by both techniques, 93% of agreement is reached in this second series (95% CI [82%, 98%]).

Reproducibility Assessment

We next performed ten independent repeats for two samples (RNA 9402 and 9260, ABC and GCB respectively). As shown in FIG. 9A, the calculated scores remained highly stable (average −32.75, standard deviation 0.41 for the sample 9260, average 17.88, standard deviation 0.32 for the sample 9402). To address further the robustness of the assay, we also tested 12 serial ½ dilutions of the same samples (9402), from 400 ng to less than 1 ng of RNA. As shown in FIG. 9C, the raw fluorescence peak heights for the 14 genes remained stable from 400 to 12 ng of RNA, resulting in a high stability of the normalized expression values (FIG. 9D), scores (average 17.84, standard deviation 0.26; FIG. 9B and E) and GCB/ABC probabilities (FIG. 9E).

Validation on an Independent Cohort of Frozen Samples

We next applied this predictor to a second independent validation series of 64 patients from the GHEDI study (FIG. 1, Cohort#4), classified within the GCB or ABC subtypes using Affymetrix U133+2 gene expression data and a Bayesian predictor based on a 24 gene expression signature as previously described²⁴. This series comprised 28 GCB, 25 ABC, and 11 unclassified cases. As shown in FIG. 4, the RT-MLPA assay classified 84.4% (95% CI [73%, 92%]) of these cases within the expected subtypes (24/28 GCB, 22/25 ABC and 8/11 unclassified). 4 GCB and 3 ABC cases were considered unclassifiable, accounting for 13.2% (95% CI [5%, 25%]) of samples classified by the reference technique. Finally 3 previously unclassified cases were misclassified into the ABC subtype. When focusing on samples classified by both techniques, none of the 46 remaining sample was in contradiction between this assay and the Affymetrix U133+2 “gold standard” (95% CI [92%, 100%]).

Validation on FFPE Samples

To test further the robustness of this assay, we next compared the results obtained from paired frozen and FFPE biopsies. Thirty RNA samples extracted from FFPE archival materials from the CHB cohort were tested. Except for two extraction failures, interpretable profiles were obtained for all 28 remaining cases. As shown in FIG. 5A, the RT-MLPA assay classified 25 (89.3%) of the FFPE samples within the expected subtypes (11/14 GCB, 12/12 ABC and 2/2 unclassified), while 3 GCB cases were considered unclassified. The statistically significant (p=1.2e-11) Pearson's correlation between frozen and FFPE samples is illustrated in FIG. 5B.

Extended Series of Samples

We next included 80 additional independent frozen samples, all from the Centre Henri Becquerel, and for which neither DASL nor Affymetrix classification was available (FIG. 1, Cohort #3). The resulting extended series of 195 cases allowed us to test for the correlations between the RT-MLPA GCB/ABC classification, IHC (100 cases) and survival (135 cases). Excluding the 50 samples of the training cohort, the RT-MLPA predictor classified 63 of the 145 remaining cases into the GCB subtype (43.4%), 56 into the ABC subtype (38.6%), and 26 were considered unclassifiable (17.9%). These proportions correspond to the repartition which is typically observed in DLBCL populations.

Comparison with Immunochemistry

For 100 cases (54 in the validation Cohort #1 and 46 in the Cohort #3), the GC/non-GC origin had been addressed by IHC at diagnosis using the Hans algorithm, implemented in our department of pathology in 2005²⁰. To avoid artifacts, only cases with positive CD10 internal controls were considered interpretable. In this series, IHC and RT-MLPA were in agreement for 36/44 GCB cases (81.8%) and 32/38 ABC cases (84.2%). The last 18 cases, considered unclassified by RT-MLPA, distributed within the GCB (4 cases) and non-GCB (14 cases) subtypes defined by IHC (FIG. 6). These results are in agreement with what is typically observed between Affymetrix classifications and the Hans algorithm, which identifies GCB cases but does not differentiate unclassified cases from ABC cases (both referred as non-GCB cases)²⁰.

Survival Analysis

To evaluate the prognostic value of this assay, we next focused on the 135 patients diagnosed between 2001 and 2011 at the Centre Henri Becquerel who were treated by a combination of rituximab and chemotherapy. As expected, ABC cases were significantly associated with a poorer PFS (p=0.004) and OS (p=0.012) (FIG. 7A). Continuous univariate analysis also confirmed that the expression of several individual genes within this MLPA signature were significantly associated with prognosis (Table S3). As expected, high LMO2 (FDR=0.006 and 0.012 in PFS and OS, respectively) and BCL6 (FDR=0.019 in PFS) expressions were found to be associated with a better prognosis. Similarly, low TNFRSF13B expression was linearly correlated with a better prognosis (FDR=0.036 and 0.012 in PFS and OS, respectively). Simplification toward two-group models classifying patients according to the median expression of the considered gene led to similar results (FIG. 7B-D).

To further illustrate the ability of this assay to retrieve well-established prognosis factors, the survival of MYC+ BCL2+ patients was compared to the rest of the series. Following previously described methods²², the expression thresholds were set at values (0.256 for BCL2, 1.284 for MYC) that lead to the most significant segmentation of patients in PFS. In total, 14 patients were classified as MYC+ BCL2+, and showed a particularly poor outcome in OS (27% [11-66] versus 67% [58-76] at 3 years, p=0.0002) and PFS (14% [4-52] versus 56% [47-66] at 3 years, p=0.0007) (FIG. 7E).

Discussion

Here, we describe a rapid and robust RT-MLPA assay which allows an accurate classification of GCB and ABC DLBCL. This easy to use method allows the rapid evaluation of the relative expression of 14 genes in a single reaction. It only requires a thermocycler, a capillary sequencer and basic molecular biology reagents, and can thus be implemented in many laboratories¹⁷. Its simplicity and flexibility allows testing from a single to up to 40 samples in parallel, making it particularly suitable for a routine diagnosis workflow. Furthermore, with the few adaptations we made, the whole procedure can be achieved in less than one day, making it a rapid and inexpensive alternative (with a reagent cost of less than 5 dollars/sample) to the current methods of GCB and ABC DLBCL stratification.

In the independent validation series we tested, none of the RT-MLPA calls was in contradiction with the current gold standard (Affymetrix arrays) and only a few samples moved from or to the “unclassified” group. Several well known prognostic factors were also found to be significant when determined by RT-MLPA, including the GCB/ABC classification²⁵, LMO2 and BCL6 gene expressions (Alizadeh et al, 2011a) and MYC-BCL2 co-expression (Johnson et al, 2012), further confirming the validity of this assay.

The proportions of unclassifiable or “Type III” samples we observed (13.8% and 13.2% of the two frozen validation cohorts) are slightly higher than the 9% originally described with the gold standard²⁴ and the 7% reported by the same laboratory using the Nanostring technology¹⁶. It should be noted however that the confidence threshold used for decision making was raised from the 90% originally published to the more ubiquitous 95%, which can explain this small increase. Nevertheless these proportions are consistent with the performances obtained using other gene expression based methods: 16%¹⁵ or 20%¹³. The same problem was also reported with Hans' IHC algorithm⁸⁻¹⁰ as CD10 and BCL6 reliable interpretation cannot always be achieved. Whether this “Type III” subgroup corresponds to an independent biological entity or to a heteroclite collection of atypical tumours is still an open question. However, the discrepancies observed in our series regarding these lymphomas, as well as the lack of consensus observed in the literature concerning their prognostic value^(14,24), tend to support the later hypothesis.

When compared to other GEP methods, RT-MLPA is associated with a relatively poor dynamic range²⁶. This characteristic impacted the development of the classifier as some genes, such as MME (encoding CD10), one of the best markers of the GCB subtype, could not be incorporated into the final design. On the other hand, RT-MLPA also proved to be efficient in evaluating the expression of other highly discriminant markers, such as LMO2, which is particularly difficult to evaluate by IHC. Furthermore, even though GCB and ABC DLBCLs differ by the expression of thousands of genes⁴, the flexibility of RT-MLPA allowed us to easily and rapidly test multiple combinations of markers to reach a satisfactory design. Another important advantage of RT-MLPA over most others GEP methods is that as only short cDNA fragments are necessary for the correct binding and ligation of the gene specific oligonucleotide probes. It is thus less impacted by the use of low RNA concentration and RNA degradation, and constitutes as such an interesting alternative for testing FFPE biopsies. It could thus be used for the retrospective analysis of archival collections and for the inclusion of patients in prospective clinical trials, as only a few institutions routinely collect frozen biopsy materials.

In conclusion, the robust and cost effective RT-MLPA assay we describe, with its simple workflow and its short turn-around time, could be used in many laboratories without requiring the acquisition of any dedicated platform. It could then challenge IHC and other quantitative GEP assays to enable the stratification of DLBCL patients in prospective clinical trials, and ultimately facilitate the generalization of GCB/ABC DLBCL targeted therapies.

TABLE 1 Sequences of the RT-MLPA oligonucleotides. The sequences of the forward and 5′ phosphorylated reverse primers are presented with the symbol of the gene assessed, along with the 3 oligonucleotides used as competitors. The underlined sequence is designed to hybridize with PCR primers for a common amplification, while the rest of the sequence is a combination of a gene- specific sequence and spacer. 5′ RT-MLPA probes NEK6_E2L 5′-GTGCCAGCAAGATCCAATCTAGACCTGTGCATCCTCCTGACCCACAG-3′ (SEQ ID NO: 54) IRF4_E6L 5′-GTGCCAGCAAGATCCAATCTAGATCTGCCGAAGCCTTGGCGTTCTCAG-3′ (SEQ ID NO: 56) IGHM_E2L 5′-GTGCCAGCAAGATCCAATCTAGATGCGTCCTCCATGTGTGGCCCCG-3′ (SEQ ID NO: 58) CCND1_E3L 5′-GTGCCAGCAAGATCCAATCTAGATACCTTCGTTGCCCTCTGTGCCACAG-3′ (SEQ ID NO: 60) LMO2_E5L 5′-GTGCCAGCAAGATCCAATCTAGACGGAAGCTCTGCCGGAGAGACTATCTCAG-3′ (SEQ ID NO: 62) FOXP1_E10L 5′-GTGCCAGCAAGATCCAATCTAGACCCTTCCCCTTCAACCTCTTGCTCAAG-3′ (SEQ ID NO: 64) TNFRSF9_E2L 5′-GTGCCAGCAAGATCCAATCTAGATACGGACCTGTGACATATGCAGGCAGTGTAAAG-3′ (SEQ ID NO: 66) BCL6_E3L 5′-GTGCCAGCAAGATCCAATCTAGATACTACTCATAAAACGGTCCTCATGGCCTGCAG-3′ (SEQ ID NO: 68) TNFRSF13B_E2L 5′-GTGCCAGCAAGATCCAATCTAGATACTACTACTAGCGCACCTGTGCAGCCTTCTGCA-3′ (SEQ ID NO: 70) CCND2_E1L 5′-GTGCCAGCAAGATCCAATCTAGATACTACTGACCTTCATTGCTCTGTGTGCCACCG-3′ (SEQ ID NO: 72) MYC_E1L 5′-GTGCCAGCAAGATCCAATCTAGATACTACTACTTCGGGTAGTGGAAAACCAGCAGCCTC-3′ (SEQ ID NO: 74) MYBL1_E10L 5′-GTGCCAGCAAGATCCAATCTAGACCAGAATTTGCAGAGACTCTAGAACTTATTGAATCT-3′ (SEQ ID NO: 76) BCL2_E1L 5′-GTGCCAGCAAGATCCAATCTAGATACTACTACTACCCTGGATCCAGGATAACGGAGGCTGG-3′ (SEQ ID NO: 78) MS4A1_E5F  5′-GTGCCAGCAAGATCCAATCTAGATACTACTACTATTCTTCATGAGGGAATCTAAGACTTTGGGG-3′ (SEQ ID NO: 80) 3′ RT-MLPA probes NEK6_E3R 5′-Pho-AGGCATCCCAACACGCTGTCTTTTCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 55) IRF4_E7R 5′-Pho-ACTGCCGGCTGCACATCTGCCTGTATCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 57) IGHM_E3R 5′-Pho-ATCAAGACACAGCCATCCGGGTCTTCTACTATCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 59) CCND1_E4R 5′-Pho-ATGTGAAGTTCATTTCCAATCCGCCCTTACTTCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 61) LMO2_E6R 5′-Pho-GCTTTTTGGGCAAGACGGTCTCTGCTACTATCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 63) FOXP1_E11R 5′-Pho-GCATGATTCCAACAGAACTGCAGCAGCTACTACTACTCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 65) TNFRSF9_E3R 5′-Pho-GTGTTTTCAGGACCAGGAAGGAGTGTTCCTACTCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 67) BCL6_E4R 5′-Pho-TGGCCTGTTCTATAGCATCTTTACAGACCAGTTGTCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 69) TNFRSF13B_E3R 5′-Pho-GGTCACTCAGCTGCCGCAAGGAGCTACTACTACTACTCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 71) CCND2_E2R 5′-Pho-ACTTTAAGTTTGCCATGTACCCACCGTCGATACTACTATCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 73) MYC_E2R 5′-Pho-CCGCGACGATGCCCCTCAACGTTATACTACTACTACTATCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 75) MYBL1_E11R 5′-Pho-GATCCTGTAGCATGGAGTGACGTTACCAGTTTTTACTACTTCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 77) BCL2_E2R 5′-Pho-GATGCCTTTGTGGAACTGTACGGCCTACTACTACTACTACTTCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 79) MS4A1_E6R 5′-Pho-GCTGTCCAGATTATGAATGGGCTCTTCCACTACTACTACTATCCAACCCTTAGGGAACCC-3′ (SEQ ID NO: 81) Competitors NEK6_comp 5′-AGGCATCCCAACACGCTGTCTTT-3′ (SEQ ID NO: 82) IGHM_comp 5′-ATCAAGACACAGCCATCCGGGTCTTC-3′ (SEQ ID NO: 83)

TABLE 2 Candidate genes considered for inclusion in the RT-MLPA predictor. GCB and ABC discriminating genes (reported as False Discovery Rates from two distinct LIMMA analyses) in two independent series of Affymetrix U133 + 2 arrays (GHEDI and Lenz et al.) were considered for inclusion in the predictor. The considered Affymetrix probeset, as well as the final decision to retain the gene (+) or not according to its performances in RT-MLPA, are indicated. GHEDI RT- RT-MLPA Gene Probeset High in FDR Lenz FDR MLPA FDR BATF 205965_at ABC 1.95 × 10⁻¹¹ 1.05 × 10⁻³⁵ CCND2 200953_s_at ABC 1.12 × 10⁻⁶ 8.92 × 10⁻¹⁴ FOXP1 224838_at ABC 5.97 × 10⁻²⁸ 1.35 × 10⁻²⁸ + 9.98 × 10⁻³ FUT8 203988_s_at ABC 5.19 × 10⁻¹⁵ 4.71 × 10⁻²⁶ IGHM 209374_s_at ABC 1.62 × 10⁻¹⁰ 2.29 × 10⁻²¹ + 9.93 × 10⁻⁵ IRF4 204562_at ABC 3.92 × 10⁻¹⁴ 2.55 × 10⁻¹⁷ + 9.93 × 10⁻⁵ LIMD1 222762_x_at ABC 3.28 × 10⁻¹⁶ 2.00 × 10⁻³⁴ SH3BP5 201811_x_at ABC 1.19 × 10⁻²² 9.98 × 10⁻²⁵ SLA 203761_at ABC 5.10 × 10⁻¹⁷ 5.64 × 10⁻³¹ TNFRSF13B 207641_at ABC 3.40 × 10⁻¹¹ 4.44 × 10⁻²⁰ + 9.93 × 10⁻⁵ BCL6 203140_at GCB 5.13 × 10⁻⁶ 2.00 × 10⁻³⁴ + 8.93 × 10⁻⁴ LMO2 204249_s_at GCB 1.25 × 10⁻¹⁰ 1.32 × 10⁻²³ + 1.90 × 10⁻¹⁰ MME 203434_s_at GCB 1.36 × 10⁻⁵ 6.08 × 10⁻²¹ MYBL1 213906_at GCB 8.44 × 10⁻¹⁰ 2.23 × 10⁻²⁷ + 1.12 × 10⁻⁴ NEK6 223158_s_at GCB 1.06 × 10⁻¹⁰ 7.01 × 10⁻²⁹ + 1.03 × 10⁻⁵ TNFRSF9 207536_s_at GCB 9.81 × 10⁻⁴ 6.39 × 10⁻²

TABLE S1 Full sample list. The characteristics of the 317 samples analyzed in this paper, identified by their RNA and Patient unique IDs. When available, reference GCB-ABC classification as evaluated by Affymetrix, DASL or IHC is provided along with the final (MLPA) classification. The raw scores and probabilities of belonging to the ABC subgroup are also provided, as computed by the RT-MLPA predictor (probability of belonging to the GCB subgroup can be computed as the complement to 1). Material Cohort RNA Patient Affymetrix DASL DASL.score IHC OS.time (years) PFS.time (years) OS.event PFS.event MLPA MLPA.score MLPA.p (ABC) frozen dilutions 9402_D01 UPN1633 ABC 17.559 9.98E−01 frozen dilutions 9402_D02 UPN1633 ABC 18.308 9.98E−01 frozen dilutions 9402_D03 UPN1633 ABC 17.937 9.98E−01 frozen dilutions 9402_D04 UPN1633 ABC 17.793 9.98E−01 frozen dilutions 9402_D05 UPN1633 ABC 17.687 9.98E−01 frozen dilutions 9402_D06 UPN1633 ABC 17.758 9.98E−01 frozen dilutions 9402_D07 UPN1633 ABC 17.152 9.97E−01 frozen dilutions 9402_D08 UPN1633 ABC 17.487 9.97E−01 frozen dilutions 9402_D09 UPN1633 ABC 16.461 9.97E−01 frozen dilutions 9402_D10 UPN1633 ABC 16.818 9.97E−01 frozen dilutions 9402_D11 UPN1633 ABC 16.238 9.97E−01 frozen dilutions 9402_D12 UPN1633 ABC 12.679 9.96E−01 FFPE FFPE B01.1117 UPN1001 GCB −23.148 1.54E−04 FFPE FFPE B04.2708 UPN1291 ABC 11.634 9.95E−01 FFPE FFPE B05.2945 UPN1389 GCB −53.532 9.41E−16 FFPE FFPE B06.0638 UPN1411 ABC 18.094 9.98E−01 FFPE FFPE B06.0757 UPN1415 ABC 14.390 9.97E−01 FFPE FFPE B06.1310 UPN1434 other −0.937 8.90E−01 FFPE FFPE B06.2626 UPN1474 other −11.896 8.10E−02 FFPE FFPE B07.0131 UPN1485 GCB −15.802 1.17E−02 FFPE FFPE B07.0512 UPN1497 GCB −13.605 3.62E−02 FFPE FFPE B07.2345 UPN1549 GCB −32.380 2.29E−07 FFPE FFPE B07.2712 UPN1560 GCB −18.459 2.67E−03 FFPE FFPE B07.2960 UPN1569 other 1.728 9.50E−01 FFPE FFPE B08.0130 UPN1574 ABC 15.298 9.97E−01 FFPE FFPE B08.1825 UPN1580 GCB −49.048 9.42E−14 FFPE FFPE B08.1769 UPN1627 other −3.877 7.39E−01 FFPE FFPE B08.1852 UPN1633 ABC 14.493 9.97E−01 FFPE FFPE B08.1999 UPN1637 ABC 15.061 9.97E−01 FFPE FFPE B08.2071 UPN1639 GCB −42.454 4.99E−11 FFPE FFPE B08.2463 UPN1647 other −2.575 8.21E−01 FFPE FFPE B09.0141 UPN1684 GCB −34.849 3.30E−08 FFPE FFPE B09.0388 UPN1691 ABC 8.677 9.91E−01 FFPE FFPE B09.1810 UPN1737 ABC 7.888 9.89E−01 FFPE FFPE B09.1892 UPN1741 ABC 15.512 9.97E−01 FFPE FFPE B09.2264 UPN1750 ABC 8.806 9.91E−01 FFPE FFPE B10.0146 UPN1768 ABC 10.632 9.94E−01 FFPE FFPE B10.0640 UPN1787 GCB −60.672 3.49E−19 FFPE FFPE X10.0083 UPN1801 GCB −47.320 5.16E−13 FFPE FFPE B12.1717 UPN1911 ABC 17.609 9.98E−01 frozen LYSA GHE0015 GHE0015 GCB GCB −26.420 1.75E−05 frozen LYSA GHE0016 GHE0016 ABC ABC 4.158 9.74E−01 frozen LYSA GHE0024 GHE0024 ABC ABC 7.561 9.89E−01 frozen LYSA GHE0028 GHE0028 ABC other 1.586 9.48E−01 frozen LYSA GHE0047 GHE0047 other other −2.286 8.35E−01 frozen LYSA GHE0061 GHE0061 ABC ABC 9.757 9.93E−01 frozen LYSA GHE0140 GHE0140 other ABC 3.532 9.70E−01 frozen LYSA GHE0202 GHE0202 GCB GCB −19.790 1.22E−03 frozen LYSA GHE0219 GHE0219 GCB GCB −27.557 7.94E−06 frozen LYSA GHE0228 GHE0228 GCB GCB −21.441 4.50E−04 frozen LYSA GHE0258 GHE0258 ABC ABC 2.531 9.60E−01 frozen LYSA GHE0262 GHE0262 ABC ABC 5.615 9.82E−01 frozen LYSA GHE0292 GHE0292 GCB GCB −44.127 1.07E−11 frozen LYSA GHE0293 GHE0293 other other −4.798 6.65E−01 frozen LYSA GHE0368 GHE0368 GCB GCB −30.089 1.29E−06 frozen LYSA GHE0375 GHE0375 other other 0.447 9.27E−01 frozen LYSA GHE0429 GHE0429 GCB GCB −35.412 2.10E−08 frozen LYSA GHE0436 GHE0436 ABC ABC 15.539 9.97E−01 frozen LYSA GHE0440 GHE0440 GCB GCB −34.923 3.11E−08 frozen LYSA GHE0507 GHE0507 ABC ABC 7.684 9.89E−01 frozen LYSA GHE0547 GHE0547 other other −0.071 9.15E−01 frozen LYSA GHE0562 GHE0562 ABC ABC 3.471 9.69E−01 frozen LYSA GHE0629 GHE0629 ABC ABC 7.597 9.89E−01 frozen LYSA GHE0632 GHE0632 other other −1.969 8.50E−01 frozen LYSA GHE0635 GHE0635 GCB GCB −35.976 1.32E−08 frozen LYSA GHE0659 GHE0659 ABC ABC 5.195 9.80E−01 frozen LYSA GHE0685 GHE0685 ABC ABC 6.618 9.86E−01 frozen LYSA GHE0708 GHE0708 GCB GCB −27.290 9.57E−06 frozen LYSA GHE0717 GHE0717 ABC ABC 10.833 9.94E−01 frozen LYSA GHE0776 GHE0776 GCB GCB −15.686 1.24E−02 frozen LYSA GHE0811 GHE0811 ABC ABC 9.167 9.92E−01 frozen LYSA GHE0834 GHE0834 GCB GCB −33.168 1.25E−07 frozen LYSA GHE0837 GHE0837 ABC ABC 12.755 9.96E−01 frozen LYSA GHE0853 GHE0853 other other −8.507 2.98E−01 frozen LYSA GHE0855 GHE0855 ABC other −2.843 8.06E−01 frozen LYSA GHE0857 GHE0857 GCB GCB −16.082 1.01E−02 frozen LYSA GHE0860 GHE0860 ABC other −3.716 7.50E−01 frozen LYSA GHE0877 GHE0877 GCB other −3.776 7.46E−01 frozen LYSA GHE0908 GHE0908 GCB GCB −44.859 5.42E−12 frozen LYSA GHE0997 GHE0997 other other −2.302 8.35E−01 frozen LYSA GHE1018 GHE1018 GCB GCB −34.597 4.04E−08 frozen LYSA GHE1028 GHE1028 GCB GCB −22.667 2.09E−04 frozen LYSA GHE1069 GHE1069 GCB GCB −19.875 1.16E−03 frozen LYSA GHE1225 GHE1225 GCB GCB −17.685 4.15E−03 frozen LYSA GHE1229 GHE1229 ABC ABC 7.207 9.88E−01 frozen LYSA GHE1287 GHE1287 GCB GCB −48.593 1.48E−13 frozen LYSA GHE1302 GHE1302 ABC ABC 4.331 9.75E−01 frozen LYSA GHE1352 GHE1352 GCB other −8.586 2.91E−01 frozen LYSA GHE1353 GHE1353 ABC ABC 9.731 9.93E−01 frozen LYSA GHE1373 GHE1373 GCB GCB −39.420 7.32E−10 frozen LYSA GHE1393 GHE1393 GCB GCB −26.683 1.46E−05 frozen LYSA GHE1409 GHE1409 other other −9.193 2.38E−01 frozen LYSA GHE1413 GHE1413 ABC ABC 13.527 9.96E−01 frozen LYSA GHE1424 GHE1424 ABC ABC 5.913 9.83E−01 frozen LYSA GHE1498 GHE1498 GCB GCB −17.476 4.67E−03 frozen LYSA GHE1553 GHE1553 GCB GCB −38.138 2.19E−09 frozen LYSA GHE1554 GHE1554 GCB other −10.272 1.60E−01 frozen LYSA GHE2002 GHE2002 other ABC 2.866 9.64E−01 frozen LYSA GHE2003 GHE2003 GCB GCB −30.308 1.09E−06 frozen LYSA GHE2012 GHE2012 ABC ABC 2.695 9.62E−01 frozen LYSA GHE2019 GHE2019 GCB other −11.509 9.61E−02 frozen LYSA GHE2026 GHE2026 ABC ABC 7.649 9.89E−01 frozen LYSA GHE2030 GHE2030 ABC ABC 2.960 9.65E−01 frozen LYSA GHE2109 GHE2109 other ABC 3.627 9.70E−01 frozen additional 1560 UPN0958 GCB 11.91 11.91 FALSE FALSE GCB −29.883 1.50E−06 frozen additional 1572 UPN0962 11.36 1.35 FALSE TRUE ABC 17.211 9.97E−01 frozen additional 1624 UPN0968 GCB GCB −16.294 8.96E−03 frozen additional 2462 UPN1025 GCB 9.52 1.17 TRUE TRUE ABC 13.738 9.96E−01 frozen additional 2686 UPN2035 Non- 7.80 7.80 FALSE FALSE ABC 15.295 9.97E−01 GCB frozen additional 2763 UPN1161 Non- 9.31 9.31 FALSE FALSE other −5.828 5.69E−01 GCB frozen additional 2881 UPN1170 Non- 2.04 0.80 TRUE TRUE other −12.649 5.73E−02 GCB frozen additional 2900 UPN1084 Non- GCB −36.003 1.30E−08 GCB frozen additional 3191 UPN2036 GCB 1.20 0.69 TRUE TRUE ABC 15.911 9.97E−01 frozen additional 3235 UPN1209 7.54 7.54 FALSE FALSE GCB −47.321 5.16E−13 frozen additional 3247 UPN1211 4.02 1.55 TRUE TRUE ABC 4.438 9.76E−01 frozen additional 3454 UPN1232 6.22 1.00 TRUE TRUE other 1.409 9.45E−01 frozen additional 3608 UPN1252 GCB 8.92 8.92 FALSE FALSE GCB −24.767 5.34E−05 frozen additional 3750 UPN1260 GCB 8.42 8.42 FALSE FALSE other −5.032 6.44E−01 frozen additional 4258 UPN0966 3.04 1.71 TRUE TRUE ABC 16.789 9.97E−01 frozen additional 4594 UPN1336 GCB 1.10 0.75 TRUE TRUE ABC 12.204 9.95E−01 frozen additional 4853 UPN0891 Non- GCB −38.281 1.94E−09 GCB frozen additional 5719 UPN1402 5.71 1.71 TRUE TRUE ABC 19.872 9.98E−01 frozen additional 6771 UPN1473 Non- 2.60 2.60 TRUE TRUE ABC 6.194 9.84E−01 GCB frozen additional 7136 UPN1490 Non- 4.64 4.64 TRUE TRUE other −4.446 6.95E−01 GCB frozen additional 7280 UPN1164 4.16 3.86 TRUE TRUE GCB −16.573 7.70E−03 frozen additional 8056 UPN2037 Non- 3.21 1.50 TRUE TRUE ABC 12.668 9.96E−01 GCB frozen additional 8090 UPN1547 Non- ABC 12.207 9.95E−01 GCB frozen additional 8119 UPN1549 GCB 0.90 0.90 TRUE TRUE GCB −42.555 4.55E−11 frozen additional 8307 UPN0856 GCB GCB −16.390 8.51E−03 frozen additional 8743 UPN2038 GCB 5.74 5.74 FALSE FALSE ABC 6.473 9.85E−01 frozen additional 9022 UPN1597 Non- 4.65 4.65 FALSE FALSE GCB −15.969 1.07E−02 GCB frozen additional 9083 UPN1603 1.26 0.95 TRUE TRUE GCB −42.679 4.07E−11 frozen additional 9231 UPN1561 Non- ABC 5.673 9.82E−01 GCB frozen additional 9397 UPN1630 GCB GCB −49.660 5.10E−14 frozen additional 9795 UPN1654 Non- other −0.874 8.92E−01 GCB frozen additional 9831 UPN1657 GCB 0.67 0.67 FALSE FALSE other −6.265 5.25E−01 frozen additional 9881 UPN1662 GCB 4.99 4.32 TRUE TRUE ABC 13.348 9.96E−01 frozen additional 10035 UPN1565 GCB other 0.510 9.29E−01 frozen additional 10401 UPN1691 0.96 0.96 FALSE FALSE ABC 13.737 9.96E−01 frozen additional 10823 UPN1718 3.96 3.96 FALSE FALSE ABC 14.966 9.97E−01 frozen additional 11105 UPN1741 Non- 0.68 0.50 TRUE TRUE ABC 10.482 9.94E−01 GCB frozen additional 11222 UPN0841 Non- ABC 17.459 9.97E−01 GCB frozen additional 11284 UPN1753 Non- 0.19 0.13 TRUE TRUE GCB −24.883 4.94E−05 GCB frozen additional 11767 UPN0707 Non- GCB −43.936 1.28E−11 GCB frozen additional 11768 UPN0445 Non- ABC 10.466 9.94E−01 GCB frozen additional 11770 UPN0810 Non- ABC 13.625 9.96E−01 GCB frozen additional 11779 UPN0373 Non- ABC 1.793 9.51E−01 GCB frozen additional 11887 UPN1789 2.48 2.48 FALSE FALSE ABC 7.641 9.89E−01 frozen additional 12003 UPN1800 2.55 2.55 FALSE FALSE GCB −31.670 3.94E−07 frozen additional 12100 UPN1805 GCB 3.37 3.37 FALSE FALSE GCB −21.441 4.50E−04 frozen additional 12141 UPN1806 GCB 1.17 0.65 TRUE TRUE GCB −57.438 1.36E−17 frozen additional 12284 UPN1814 Non- ABC 14.451 9.97E−01 GCB frozen additional 12422 UPN1827 3.02 3.02 FALSE FALSE GCB −37.225 4.72E−09 frozen additional 12547 UPN1838 0.01 0.01 TRUE TRUE ABC 9.080 9.92E−01 frozen additional 12621 UPN1841 2.43 2.43 FALSE FALSE GCB −36.585 8.03E−09 frozen additional 12639 UPN1842 2.62 2.62 TRUE TRUE other −11.558 9.41E−02 frozen additional 12757 UPN1849 2.69 2.69 FALSE FALSE GCB −24.791 5.25E−05 frozen additional 12766 UPN1850 2.78 2.78 FALSE FALSE GCB −51.481 8.00E−15 frozen additional 12855 UPN1455 6.82 4.08 FALSE TRUE other −5.154 6.33E−01 frozen additional 12861 UPN1861 2.22 2.22 FALSE FALSE other −4.139 7.19E−01 frozen additional 12984 UPN1865 2.31 2.31 FALSE FALSE ABC 2.188 9.56E−01 frozen additional 12986 UPN1866 0.08 0.05 TRUE TRUE GCB −27.776 6.81E−06 frozen additional 13016 UPN1868 2.73 2.73 FALSE FALSE ABC 12.123 9.95E−01 frozen additional 13062 UPN1871 2.60 2.60 FALSE FALSE other −5.904 5.61E−01 frozen additional 13274 UPN1887 1.59 1.29 TRUE TRUE GCB −31.208 5.59E−07 frozen additional 13519 UPN1899 2.30 1.68 FALSE TRUE other −5.117 6.37E−01 frozen additional 13761 UPN1911 1.43 1.11 TRUE TRUE ABC 16.505 9.97E−01 frozen additional 13959 UPN1920 2.20 2.20 FALSE FALSE GCB −27.542 8.03E−06 frozen additional 14186 UPN1938 2.11 2.11 FALSE FALSE ABC 2.709 9.62E−01 frozen additional 14341 UPN1948 0.45 0.45 TRUE TRUE ABC 17.675 9.98E−01 frozen additional 14347 UPN1798 2.87 1.44 FALSE TRUE GCB −16.772 6.90E−03 frozen additional 2898 UPN0914 Non- other −2.693 8.14E−01 GCB frozen additional 4222 UPN1306 Non- 3.72 2.04 TRUE TRUE ABC 4.359 9.76E−01 GCB frozen additional 4467 UPN1324 Non- 4.25 4.20 TRUE TRUE other 1.238 9.42E−01 GCB frozen additional 4788 UPN1359 Non- 7.42 7.42 FALSE FALSE GCB −34.014 6.41E−08 GCB frozen additional 4950 UPN1372 Non- 2.79 2.79 FALSE FALSE other −8.156 3.31E−01 GCB frozen additional 5541 UPN1396 GCB 6.54 1.39 FALSE TRUE GCB −22.444 2.40E−04 frozen additional 6092 UPN1434 GCB 0.88 0.50 TRUE TRUE GCB −20.530 7.86E−04 frozen additional 8193 UPN0285 Non- ABC 2.422 9.59E−01 GCB frozen additional 8730 UPN1586 GCB 3.75 3.75 TRUE TRUE GCB −34.945 3.06E−08 frozen additional 9647 UPN1178 GCB GCB −29.031 2.78E−06 frozen additional 10181 UPN1675 4.04 4.04 FALSE FALSE GCB −38.852 1.19E−09 frozen additional 10724 UPN1703 3.76 3.76 FALSE FALSE other −9.166 2.41E−01 frozen additional 11573 UPN1773 3.01 3.01 FALSE FALSE GCB −39.515 6.74E−10 frozen validation 9260 UPN1622 GCB −7.352 4.43 4.43 FALSE FALSE GCB −33.227 1.19E−07 frozen replicates 9260_R02 UPN1622 GCB −33.139 1.27E−07 frozen replicates 9260_R03 UPN1622 GCB −32.411 2.24E−07 frozen replicates 9260_R04 UPN1622 GCB −33.155 1.26E−07 frozen replicates 9260_R05 UPN1622 GCB −33.275 1.15E−07 frozen replicates 9260_R06 UPN1622 GCB −32.721 1.76E−07 frozen replicates 9260_R07 UPN1622 GCB −32.956 1.47E−07 frozen replicates 9260_R08 UPN1622 GCB −32.131 2.77E−07 frozen replicates 9260_R09 UPN1622 GCB −33.453 9.97E−08 frozen replicates 9260_R10 UPN1622 GCB −32.972 1.45E−07 frozen training 9402 UPN1633 ABC 14.158 0.59 0.56 TRUE TRUE ABC 18.084 9.98E−01 frozen replicates 9402_R02 UPN1633 ABC 17.725 9.98E−01 frozen replicates 9402_R03 UPN1633 ABC 17.901 9.98E−01 frozen replicates 9402_R04 UPN1633 ABC 17.124 9.97E−01 frozen replicates 9402_R05 UPN1633 ABC 17.731 9.98E−01 frozen replicates 9402_R06 UPN1633 ABC 18.256 9.98E−01 frozen replicates 9402_R07 UPN1633 ABC 17.444 9.97E−01 frozen replicates 9402_R08 UPN1633 ABC 17.734 9.98E−01 frozen replicates 9402_R09 UPN1633 ABC 17.606 9.98E−01 frozen replicates 9402_R10 UPN1633 ABC 17.599 9.98E−01 frozen training 1841 UPN1010 ABC 6.555 8.72 8.72 FALSE FALSE other −5.508 6.00E−01 frozen training 2663 UPN1149 ABC 12.958 6.36 6.36 FALSE FALSE ABC 8.438 9.91E−01 frozen training 3495 UPN1028 ABC 11.192 ABC 8.903 9.91E−01 frozen training 3958 UPN1281 ABC 13.045 8.44 8.44 FALSE FALSE ABC 10.389 9.94E−01 frozen training 4022 UPN1291 ABC 12.335 0.93 0.48 TRUE TRUE ABC 12.813 9.96E−01 frozen training 4327 UPN1313 ABC 10.142 7.78 7.78 FALSE FALSE ABC 11.460 9.95E−01 frozen training 4657 UPN0943 ABC 12.310 ABC 14.496 9.97E−01 frozen training 4943 UPN1370 ABC 17.298 0.47 0.46 TRUE TRUE ABC 17.806 9.98E−01 frozen training 5259 UPN0497 ABC 9.512 ABC 6.762 9.86E−01 frozen training 5261 UPN0526 ABC 8.168 ABC 8.155 9.90E−01 frozen training 5263 UPN0721 ABC 6.295 ABC 4.015 9.73E−01 frozen training 5642 UPN0466 ABC 12.579 ABC 8.046 9.90E−01 frozen training 5844 UPN1415 ABC 11.168 1.38 0.86 TRUE TRUE ABC 19.686 9.98E−01 frozen training 6572 UPN1465 ABC 9.940 1.16 0.88 TRUE TRUE ABC 12.970 9.96E−01 frozen training 7052 UPN1486 ABC 17.700 1.78 1.78 FALSE FALSE ABC 19.242 9.98E−01 frozen training 8005 UPN1540 ABC 10.242 1.34 0.85 TRUE TRUE ABC 13.203 9.96E−01 frozen training 8026 UPN1541 ABC 15.877 0.90 0.73 TRUE TRUE ABC 16.699 9.97E−01 frozen training 8194 UPN0878 ABC 13.199 ABC 17.650 9.98E−01 frozen training 8196 UPN0937 ABC 11.665 ABC 9.857 9.93E−01 frozen training 8607 UPN1574 ABC 12.665 2.12 0.63 TRUE TRUE ABC 5.932 9.83E−01 frozen training 8709 UPN1583 ABC 9.113 1.30 0.54 TRUE TRUE other −1.899 8.53E−01 frozen training 9093 UPN1604 ABC 9.430 0.05 0.05 TRUE TRUE other −4.985 6.49E−01 frozen training 9398 UPN1631 ABC 6.036 0.93 0.93 TRUE TRUE ABC 14.197 9.96E−01 frozen training 9481 UPN1637 ABC 12.831 2.25 2.20 TRUE TRUE ABC 19.840 9.98E−01 frozen training 10673 UPN1296 ABC 10.370 3.29 3.29 FALSE FALSE other −8.056 3.41E−01 frozen training 11061 UPN1732 ABC 12.801 3.53 1.31 FALSE TRUE ABC 12.960 9.96E−01 frozen training 11254 UPN1750 ABC 14.058 1.69 1.12 TRUE TRUE ABC 14.046 9.96E−01 frozen training 11635 UPN1768 ABC 12.207 0.04 0.04 TRUE TRUE ABC 13.520 9.96E−01 frozen training 1604 UPN0964 GCB −6.562 GCB −51.942 4.97E−15 frozen training 3010 UPN0602 GCB −6.902 GCB −35.210 2.47E−08 frozen training 3577 UPN1251 GCB −6.146 8.34 8.34 FALSE FALSE GCB −61.664 1.10E−19 frozen training 3839 UPN0853 GCB −6.034 GCB −31.067 6.21E−07 frozen training 5220 UPN1386 GCB −7.046 7.03 0.96 FALSE TRUE GCB −55.994 6.68E−17 frozen training 5265 UPN0987 GCB −0.037 other −11.930 7.98E−02 frozen training 5338 UPN1392 GCB −0.042 1.82 1.14 TRUE TRUE GCB −14.479 2.33E−02 frozen training 5643 UPN0494 GCB −4.501 GCB −40.421 3.06E−10 frozen training 5722 UPN1404 GCB −1.630 6.33 6.33 FALSE FALSE GCB −13.816 3.26E−02 frozen training 6242 UPN1443 GCB −8.608 4.60 4.60 FALSE FALSE GCB −59.637 1.14E−18 frozen training 6460 UPN1458 GCB 0.659 5.75 5.75 FALSE FALSE GCB −15.810 1.16E−02 frozen training 7026 UPN1485 GCB −5.099 2.81 2.81 TRUE TRUE GCB −27.192 1.03E−05 frozen training 7358 UPN1505 GCB −7.208 5.41 5.41 FALSE FALSE GCB −33.746 7.92E−08 frozen training 7688 UPN1525 GCB −3.601 3.53 3.53 FALSE FALSE GCB −29.054 2.73E−06 frozen training 8190 UPN0235 GCB −6.507 GCB −53.620 8.57E−16 frozen training 9017 UPN1596 GCB −1.494 4.70 4.70 FALSE FALSE GCB −14.522 2.28E−02 frozen training 9217 UPN1614 GCB −6.946 4.59 4.59 FALSE FALSE GCB −33.149 1.26E−07 frozen training 9296 UPN1623 GCB −2.870 4.30 4.30 FALSE FALSE GCB −42.449 5.01E−11 frozen training 9503 UPN1639 GCB −3.785 4.35 4.35 FALSE FALSE GCB −48.289 2.00E−13 frozen training 10599 UPN1378 GCB −7.147 7.89 2.15 TRUE TRUE GCB −39.372 7.63E−10 frozen training 11847 UPN1787 GCB −0.574 2.68 2.68 FALSE FALSE GCB −40.977 1.87E−10 frozen validation 1816 UPN1003 ABC 13.384 Non- 11.95 11.95 FALSE FALSE ABC 14.743 9.97E−01 GCB frozen validation 3294 UPN1217 ABC 9.614 2.80 1.24 TRUE TRUE other −4.388 7.00E−01 frozen validation 3893 UPN1275 ABC 11.262 Non- ABC 10.173 9.93E−01 GCB frozen validation 4041 UPN1290 ABC 8.329 7.79 7.79 FALSE FALSE ABC 14.054 9.96E−01 frozen validation 4150 UPN1297 ABC 12.353 Non- other −2.558 8.21E−01 GCB frozen validation 4405 UPN1318 ABC 9.141 0.36 0.36 TRUE TRUE ABC 9.728 9.93E−01 frozen validation 4673 UPN1344 ABC 13.771 Non- ABC 17.647 9.98E−01 GCB frozen validation 5258 UPN0430 ABC 11.769 Non- ABC 16.703 9.97E−01 GCB frozen validation 5260 UPN0522 ABC 16.317 Non- ABC 13.279 9.96E−01 GCB frozen validation 5262 UPN0591 ABC 12.010 Non- ABC 10.143 9.93E−01 GCB frozen validation 5637 UPN0301 ABC 11.695 Non- ABC 12.642 9.96E−01 GCB frozen validation 5802 UPN1411 ABC 13.726 Non- 1.36 0.69 TRUE TRUE ABC 23.087 9.98E−01 GCB frozen validation 6147 UPN1437 ABC 13.294 Non- 0.07 0.07 TRUE TRUE ABC 10.970 9.94E−01 GCB frozen validation 6770 UPN1474 ABC 6.151 Non- 5.48 5.48 FALSE FALSE other 1.551 9.47E−01 GCB frozen validation 8008 UPN1449 ABC 12.457 Non- 1.66 1.07 TRUE TRUE ABC 14.695 9.97E−01 GCB frozen validation 8041 UPN1542 ABC 11.859 Non- 0.52 0.52 FALSE FALSE ABC 12.950 9.96E−01 GCB frozen validation 8195 UPN0934 ABC 9.857 Non- ABC 7.114 9.87E−01 GCB frozen validation 8268 UPN1559 ABC 9.418 Non- ABC 3.556 9.70E−01 GCB frozen validation 8431 UPN1569 ABC 10.088 Non- 0.74 0.49 TRUE TRUE other −12.476 6.21E−02 GCB frozen validation 9138 UPN1608 ABC 7.868 4.21 2.32 FALSE TRUE ABC 10.201 9.93E−01 frozen validation 9401 UPN1632 ABC 4.812 Non- 4.50 4.50 FALSE FALSE GCB −39.447 7.15E−10 GCB frozen validation 9507 UPN1635 ABC 5.529 2.40 2.06 TRUE TRUE ABC 8.131 9.90E−01 frozen validation 10451 UPN1694 ABC 11.282 GCB 1.21 1.07 TRUE TRUE ABC 11.721 9.95E−01 frozen validation 10922 UPN1721 ABC 12.097 Non- 3.05 3.05 FALSE FALSE ABC 8.390 9.90E−01 GCB frozen validation 11077 UPN1737 ABC 15.220 Non- 3.33 3.33 FALSE FALSE ABC 14.407 9.97E−01 GCB frozen validation 784 UPN0660 ABC 6.618 Non- ABC 8.417 9.91E−01 GCB frozen validation 3809 UPN1265 ABC 9.141 Non- 7.88 7.88 FALSE FALSE other −1.083 8.85E−01 GCB frozen validation 4264 UPN0188 ABC 11.465 Non- ABC 9.126 9.92E−01 GCB frozen validation 4654 UPN0822 ABC 10.375 ABC 18.277 9.98E−01 frozen validation 5257 UPN0456 ABC 9.489 Non- ABC 3.363 9.68E−01 GCB frozen validation 7214 UPN1497 ABC 4.536 GCB GCB −17.306 5.13E−03 frozen validation 8189 UPN0106 ABC 4.687 Non- other −8.815 2.71E−01 GCB frozen validation 9717 UPN1647 ABC 7.130 GCB 0.67 0.57 TRUE TRUE GCB −29.693 1.72E−06 frozen validation 819 UPN0722 GCB −8.051 GCB GCB −50.666 1.85E−14 frozen validation 1905 UPN0941 GCB −0.640 Non- other −5.785 5.73E−01 GCB frozen validation 3002 UPN0935 GCB −8.759 GCB GCB −25.261 3.84E−05 frozen validation 3009 UPN0776 GCB −6.980 GCB GCB −45.043 4.56E−12 frozen validation 3377 UPN1013 GCB −5.342 GCB −39.527 6.67E−10 frozen validation 3671 UPN1001 GCB −4.828 GCB GCB −36.497 8.64E−09 frozen validation 4261 UPN0488 GCB −7.597 GCB GCB −32.137 2.76E−07 frozen validation 4922 UPN1368 GCB −5.247 GCB 6.82 6.82 FALSE FALSE GCB −29.325 2.25E−06 frozen validation 5285 UPN1389 GCB −6.337 GCB 6.74 6.74 FALSE FALSE GCB −59.611 1.18E−18 frozen validation 5639 UPN0304 GCB −5.714 GCB GCB −21.368 4.70E−04 frozen validation 5647 UPN0801 GCB −7.328 GCB GCB −27.562 7.91E−06 frozen validation 6024 UPN1429 GCB −6.637 GCB 0.76 0.76 TRUE TRUE GCB −47.417 4.70E−13 frozen validation 6895 UPN1478 GCB −8.357 GCB 5.17 5.17 FALSE FALSE GCB −47.993 2.67E−13 frozen validation 7265 UPN1499 GCB −4.377 GCB 0.42 0.21 TRUE TRUE GCB −26.525 1.63E−05 frozen validation 7676 UPN1524 GCB −4.818 GCB 5.06 5.06 FALSE FALSE GCB −53.819 6.94E−16 frozen validation 7764 UPN1528 GCB −8.238 GCB 5.33 5.33 FALSE FALSE GCB −43.536 1.86E−11 frozen validation 8283 UPN1560 GCB −3.768 Non- 0.17 0.17 TRUE TRUE GCB −22.614 2.16E−04 GCB frozen validation 9360 UPN1627 GCB −3.007 GCB 4.25 4.25 FALSE FALSE GCB −35.253 2.38E−08 frozen validation 10258 UPN1684 GCB 0.734 GCB 3.53 3.53 FALSE FALSE GCB −38.969 1.08E−09 frozen validation 10305 UPN1580 GCB −4.477 1.19 0.29 TRUE TRUE GCB −49.006 9.82E−14 frozen validation 12043 UPN1801 GCB −6.563 GCB GCB −54.519 3.29E−16 frozen validation 780 UPN0699 GCB −1.919 Non- ABC 19.367 9.98E−01 GCB frozen validation 2330 UPN1094 GCB 0.252 GCB GCB −22.534 2.27E−04 frozen validation 3091 UPN1190 GCB 0.417 GCB 9.41 9.41 FALSE FALSE other −9.335 2.27E−01 frozen validation 4235 UPN1308 GCB −0.947 GCB 7.70 7.70 FALSE FALSE GCB −38.282 1.94E−09 frozen validation 5750 UPN1454 GCB −2.366 0.99 0.47 TRUE TRUE GCB −32.739 1.74E−07 frozen validation 5766 UPN1407 GCB −2.369 GCB 0.81 0.64 TRUE TRUE GCB −36.752 7.00E−09 frozen validation 8886 UPN1587 GCB 0.074 GCB GCB −24.264 7.44E−05 frozen validation 9797 UPN1652 GCB −0.071 Non- 4.02 4.02 FALSE FALSE other −7.488 3.98E−01 GCB frozen validation 10223 UPN1680 GCB −0.079 GCB 1.09 0.56 TRUE TRUE GCB −49.276 7.50E−14 frozen validation 10322 UPN1687 GCB 0.456 0.11 0.11 TRUE TRUE GCB −13.770 3.34E−02

TABLE S2 Gene expression measured by RT-MLPA. The sample-normalized values of the expression of the 14 genes measured by RT- MLPA in the diverse cohorts analyzed throughout this paper, including the training, validation, external and FFPE series. Sample NEK6 IRF4 IGHM CCND1 LMO2 FOXP1 TNFRSF9 BCL6 TNFRSF13B CCND2 MYC MYBL1 BCL2 MS4A1 10035 0.378 1.439 1.669 0.215 0.504 2.214 0.305 0.450 0.539 0.040 0.878 0.046 0.377 2.117 10181 0.374 0.982 1.319 0.847 1.913 0.671 0.885 0.960 0.101 0.017 0.510 0.242 0.063 2.472 10223 0.740 0.290 1.950 1.095 0.463 1.248 0.537 1.471 0.083 0.051 1.504 1.836 0.108 0.634 10258 0.932 1.244 0.708 0.799 0.900 0.938 1.192 0.818 0.276 0.358 0.756 0.906 0.340 2.379 10305 1.369 1.955 0.080 1.142 1.110 0.633 0.661 0.654 0.042 0.490 1.239 0.832 0.153 1.898 10322 0.608 1.075 2.661 0.869 0.912 0.724 0.554 0.136 0.260 1.058 1.073 0.188 0.320 1.231 10401 0.116 1.571 2.237 0.278 0.070 1.652 0.243 0.285 0.542 1.018 0.646 0.044 0.244 2.058 10451 0.180 1.684 1.875 0.854 0.212 1.584 0.265 0.417 0.932 1.153 1.336 0.093 0.622 1.152 10599 1.082 0.942 0.298 1.580 1.120 0.662 0.368 0.678 0.040 1.069 2.153 0.306 0.821 1.333 10673 0.118 1.664 1.050 0.722 0.351 1.722 1.659 1.506 0.051 1.004 1.300 0.088 0.211 0.789 10724 0.098 0.157 0.038 2.792 0.430 0.825 0.067 0.092 0.047 2.057 2.045 0.171 0.205 0.042 10823 0.063 1.572 3.380 0.417 0.095 0.272 0.176 0.101 0.471 0.794 0.323 0.056 0.039 0.402 10922 0.121 1.757 2.216 1.118 0.279 1.546 0.610 0.340 0.517 0.854 1.112 0.145 0.540 0.872 11061 0.181 1.683 1.850 0.595 0.086 1.575 0.436 0.577 0.980 1.291 1.175 0.091 0.946 0.990 11077 0.021 2.065 2.897 0.226 0.109 1.755 0.257 0.241 0.127 0.196 0.697 0.050 0.070 0.495 11105 0.266 1.801 1.554 0.489 0.175 0.697 0.254 0.089 0.820 2.144 1.540 0.069 0.572 1.225 11222 0.049 1.246 1.957 0.097 0.080 1.919 0.278 0.324 1.044 1.219 0.825 0.072 0.243 1.978 11254 0.188 1.860 2.311 0.465 0.094 1.552 0.140 0.154 0.526 1.360 1.312 0.040 0.230 0.988 11284 0.096 2.087 0.792 0.364 1.300 1.605 0.558 1.575 0.128 0.566 0.563 0.246 0.054 1.779 11573 0.721 1.188 0.320 1.377 1.616 1.321 0.887 0.773 0.066 0.757 1.473 0.271 0.119 1.723 11635 0.152 1.979 2.300 0.231 0.317 1.919 0.274 0.107 0.623 0.048 1.625 0.030 0.156 0.802 11767 0.822 0.851 0.947 0.307 1.559 1.088 0.711 0.986 0.106 0.794 0.516 0.442 0.699 2.420 11768 0.081 1.363 2.046 0.056 0.284 2.114 0.189 0.800 0.989 0.875 0.787 0.080 0.559 1.433 11770 0.034 1.185 1.886 0.106 0.065 2.094 0.192 0.883 0.992 1.231 0.905 0.047 0.464 1.588 11779 0.189 1.637 0.649 0.415 0.460 2.067 0.896 0.858 1.125 0.648 0.765 0.213 0.170 1.955 11847 0.856 0.854 1.099 1.102 1.572 0.886 0.604 0.730 0.101 0.602 0.788 0.325 0.268 2.412 11887 0.162 1.452 2.345 0.309 0.135 1.674 0.661 0.892 0.602 0.187 1.089 0.066 0.248 1.624 12003 0.192 1.308 1.118 0.861 1.937 1.881 0.513 1.169 0.271 0.269 1.207 0.130 0.020 1.249 12043 1.067 0.839 1.067 0.770 1.557 1.049 0.608 1.462 0.065 0.266 1.202 0.638 0.104 1.943 12100 0.274 0.348 1.570 0.154 0.139 1.567 0.317 2.133 0.054 0.132 1.765 0.508 0.192 1.865 12141 0.975 1.458 0.033 1.291 1.992 0.302 0.242 1.488 0.048 0.101 0.776 0.299 0.107 2.167 12284 0.089 1.956 2.346 0.945 0.173 1.444 0.239 0.113 0.693 0.223 1.312 0.167 0.235 1.246 12422 0.627 0.938 0.018 0.323 0.255 1.565 0.670 1.306 0.063 0.284 0.623 1.307 0.844 2.583 12547 0.243 1.794 1.963 0.951 0.299 0.962 0.725 0.224 0.811 1.057 0.909 0.085 0.324 1.804 12621 0.438 1.010 1.906 0.430 1.439 1.183 0.373 1.233 0.143 0.175 0.723 0.592 0.670 1.974 12639 0.460 2.196 0.249 1.200 0.673 0.875 1.156 0.447 0.422 0.976 0.985 0.237 0.472 1.881 12757 0.641 0.876 1.012 0.829 0.830 1.743 0.227 1.363 0.227 0.989 1.839 0.149 0.248 1.544 12766 0.317 0.651 0.718 0.100 2.202 1.412 0.205 1.363 0.026 0.045 0.094 0.492 0.058 2.564 12855 0.336 0.929 2.584 1.115 0.370 1.422 0.764 0.317 0.070 0.796 0.763 0.313 0.292 1.489 12861 0.115 1.450 2.039 0.396 0.406 2.020 0.560 1.206 0.171 0.221 0.910 0.162 0.613 1.476 12984 0.038 1.276 2.743 0.924 0.440 1.558 0.366 0.851 0.298 0.298 1.032 0.071 0.079 0.966 12986 0.638 1.417 0.630 1.549 1.111 1.805 0.955 1.022 0.039 0.032 1.265 0.153 0.169 1.579 13016 0.047 1.918 2.548 0.128 0.350 1.585 0.095 0.213 0.440 1.382 0.744 0.014 0.043 1.048 13062 0.348 1.468 1.777 0.603 0.557 1.446 0.890 0.655 0.300 1.301 1.206 0.114 0.294 1.623 13274 0.391 0.487 1.344 0.874 0.757 1.603 0.308 0.986 0.048 0.513 1.640 0.914 0.798 1.914 13519 0.164 1.518 1.191 0.576 0.586 2.183 1.240 0.742 0.321 0.933 0.844 0.194 0.425 1.447 13761 0.096 1.028 3.055 0.366 0.015 1.021 0.000 0.000 0.498 1.687 0.070 0.000 0.098 1.334 13959 0.611 0.076 1.177 0.158 0.046 1.492 0.403 1.957 0.060 0.150 1.398 0.615 0.647 2.352 14186 0.146 1.902 1.049 0.190 0.531 2.119 0.208 0.580 0.627 0.265 1.361 0.080 0.145 2.011 14341 0.060 1.828 2.935 0.100 0.045 1.701 0.133 0.258 0.446 0.532 0.647 0.007 0.205 0.657 14347 0.620 1.065 2.207 0.886 0.739 0.933 0.763 0.704 0.116 0.594 0.766 0.136 0.669 2.006 1560 0.147 0.168 2.485 0.177 1.150 0.995 0.344 2.281 0.055 0.051 0.914 0.100 0.171 1.346 1572 0.016 1.542 3.421 0.059 0.000 1.241 0.002 0.112 0.190 0.276 0.400 0.004 0.036 0.243 1604 1.159 2.168 0.064 1.615 2.195 0.455 0.262 0.449 0.021 0.175 1.664 0.203 0.038 0.212 1624 0.504 2.611 0.186 0.891 1.335 0.620 0.332 0.053 0.497 0.043 2.361 0.085 0.279 0.346 1816 0.067 1.275 3.592 0.110 0.033 0.600 0.033 0.024 0.188 0.178 0.497 0.010 0.064 0.114 1841 0.825 2.178 2.029 0.815 0.898 0.663 0.173 0.079 0.918 0.607 1.569 0.002 0.000 0.923 1905 0.187 2.069 0.724 0.094 1.164 1.145 0.085 0.539 1.058 0.057 2.465 0.064 0.128 1.137 2330 0.477 1.289 0.484 2.481 1.276 1.050 0.495 0.285 0.175 0.706 1.910 0.096 0.166 0.438 2462 0.050 0.705 3.366 0.097 0.094 1.388 0.053 0.078 0.291 0.753 1.037 0.008 0.062 0.224 2663 0.075 1.314 2.799 1.030 0.403 0.329 0.033 0.018 0.437 1.876 0.982 0.015 0.113 0.811 2686 0.030 1.349 2.168 0.175 0.051 2.123 0.122 0.232 0.467 0.964 0.651 0.032 0.249 2.014 2763 0.187 0.867 3.149 1.108 0.842 0.144 0.027 0.064 0.058 0.643 1.601 0.049 0.065 0.418 2881 0.559 1.519 0.059 2.171 0.912 1.419 0.167 0.000 0.416 0.323 1.962 0.065 0.189 1.476 2898 0.222 0.786 1.947 0.187 0.942 1.467 0.466 0.621 1.087 0.252 0.444 0.023 0.154 2.513 2900 0.581 1.476 1.493 0.380 1.575 1.070 0.704 1.113 0.457 0.172 0.869 0.533 0.156 1.945 3002 0.577 0.806 1.392 0.261 1.365 0.226 0.332 0.740 0.631 0.252 0.875 0.088 0.580 2.834 3009 1.352 1.265 0.532 0.983 1.529 0.391 0.421 0.533 0.209 1.254 1.465 0.222 0.918 1.715 3010 0.228 0.057 0.074 0.053 0.399 1.091 0.204 1.148 0.065 0.102 2.636 1.269 0.985 2.055 3091 0.278 0.659 2.688 0.613 1.006 1.750 0.126 0.217 0.304 0.505 1.112 0.173 0.128 1.364 3191 0.030 2.386 0.986 0.059 0.033 2.132 0.066 0.520 0.646 0.025 1.580 0.000 0.089 1.683 3235 1.336 1.407 0.165 0.821 1.271 0.872 0.135 0.553 0.018 0.311 1.453 0.553 0.173 2.470 3247 0.178 0.721 2.477 0.591 0.083 1.444 0.460 0.370 0.382 0.374 1.151 0.264 0.151 2.191 3294 0.229 1.454 2.297 0.876 0.740 1.307 0.724 0.248 0.294 0.993 1.267 0.204 0.266 1.249 3377 0.990 1.499 0.233 0.739 0.968 1.316 0.568 0.806 0.045 0.445 1.326 0.698 0.111 2.341 3454 0.134 1.432 0.535 1.105 0.462 2.277 0.292 0.264 0.495 1.413 1.793 0.152 0.283 1.062 3495 0.091 2.295 0.059 1.316 0.356 0.566 0.038 0.048 1.145 2.278 1.450 0.208 0.772 0.025 3577 1.078 0.822 1.226 1.445 1.854 0.885 0.608 0.681 0.090 0.037 1.242 1.166 0.329 1.329 3608 0.651 1.399 2.018 1.034 1.110 1.210 0.717 0.222 0.417 0.609 0.845 0.720 0.147 1.586 3671 0.865 0.523 0.019 1.295 1.119 0.944 0.424 0.542 0.006 0.034 1.549 0.286 1.534 2.409 3750 0.250 1.356 2.007 0.918 0.675 1.578 0.387 0.450 0.326 1.340 1.271 0.180 0.343 1.316 3809 0.098 2.524 0.834 0.318 1.102 1.021 0.291 0.145 0.767 0.474 0.872 0.023 0.114 2.210 3839 0.725 1.148 0.954 0.921 0.959 1.595 0.326 0.485 0.042 0.462 1.056 0.667 1.274 2.067 3893 0.029 1.323 2.427 0.056 0.203 1.665 0.030 0.156 0.133 0.034 0.939 0.014 0.105 2.454 3958 0.083 1.944 2.262 0.284 0.346 1.670 0.157 0.379 0.548 0.631 0.612 0.048 0.373 1.742 4022 0.069 1.685 2.351 0.294 0.156 2.007 0.260 0.329 0.538 0.915 0.758 0.126 0.327 1.291 4041 0.030 1.912 2.687 0.239 0.146 1.469 0.222 0.402 0.487 0.573 1.113 0.066 0.020 1.084 4150 0.075 2.106 1.217 0.322 0.459 1.325 0.382 0.381 0.103 2.073 1.901 0.306 0.136 0.299 4222 0.064 1.555 2.567 0.185 0.638 1.685 0.247 0.302 0.581 0.162 1.072 0.179 0.073 1.516 4235 0.259 1.072 1.097 0.337 1.792 0.968 0.603 1.750 0.071 0.139 0.696 0.069 0.057 2.360 4258 0.025 1.332 2.191 0.054 0.031 1.660 0.078 0.103 0.552 0.786 0.762 0.018 0.162 2.467 4261 0.687 1.641 0.650 1.144 0.835 1.851 0.527 0.698 0.067 0.051 1.161 0.899 0.289 1.861 4264 0.000 1.214 1.259 0.166 0.412 2.264 0.350 0.305 0.813 0.138 0.893 0.095 0.116 2.500 4327 0.109 1.618 2.768 0.777 0.293 1.487 0.504 0.116 0.484 0.728 1.052 0.090 0.321 0.438 4405 0.226 1.661 3.135 0.597 0.158 0.961 0.258 0.168 0.185 0.202 1.227 0.020 0.122 0.327 4467 0.280 1.859 2.312 1.146 1.048 1.054 0.127 0.073 1.011 0.682 1.479 0.050 0.233 0.103 4594 0.190 2.170 2.232 0.128 0.044 1.895 0.114 0.430 0.439 0.093 1.575 0.119 0.277 0.757 4654 0.029 1.607 2.614 0.168 0.089 1.812 0.359 0.417 0.904 0.054 1.294 0.073 0.082 1.018 4657 0.000 1.687 3.013 0.071 0.038 1.465 0.097 0.521 0.304 0.022 0.984 0.019 0.076 1.053 4673 0.056 1.891 2.246 0.313 0.223 1.841 0.206 0.219 0.857 1.435 0.937 0.014 0.065 0.776 4788 0.549 1.960 1.476 0.754 1.845 0.626 0.289 0.417 0.087 0.606 1.402 0.304 0.127 1.553 4853 0.667 0.647 0.537 0.326 1.358 1.289 0.446 0.966 0.342 0.476 1.605 0.511 0.522 2.394 4922 0.260 0.928 1.452 0.428 1.340 1.728 0.474 1.435 0.042 0.375 1.283 0.224 0.374 1.871 4943 0.063 1.234 3.093 0.160 0.075 1.371 0.049 0.030 0.590 1.360 0.720 0.023 0.088 0.542 4950 0.123 2.629 0.096 0.774 1.083 1.793 0.088 0.701 0.440 0.071 1.243 0.000 0.198 1.472 5220 1.128 0.957 1.853 0.699 1.734 1.047 0.244 0.682 0.018 0.397 0.665 0.988 1.234 1.140 5257 0.091 1.848 1.064 0.384 0.385 1.286 1.107 0.231 0.337 1.279 0.883 0.119 0.220 2.346 5258 0.114 1.076 2.709 0.131 0.064 2.157 0.098 0.210 0.675 0.595 0.877 0.022 0.127 1.260 5259 0.060 1.503 2.083 0.102 0.319 1.893 0.218 1.040 0.743 0.043 0.996 0.042 0.158 1.921 5260 0.031 1.322 2.309 0.157 0.052 1.656 0.213 0.350 0.451 1.547 1.096 0.052 0.447 1.567 5261 0.335 1.687 0.402 0.556 0.165 1.294 0.531 0.253 1.099 1.060 0.891 0.111 0.267 2.622 5262 0.178 1.219 2.719 0.163 0.046 1.742 0.120 0.232 0.354 0.164 1.791 0.168 0.067 1.116 5263 0.033 1.563 2.634 0.052 0.185 1.386 0.169 0.974 0.181 0.121 0.791 0.112 0.142 1.926 5265 0.378 1.568 1.474 0.727 1.158 1.241 1.126 0.234 0.663 0.331 1.826 0.213 0.166 1.422 5285 0.721 0.937 0.589 0.484 2.095 1.191 0.753 0.913 0.129 0.634 0.845 1.009 1.139 1.461 5338 0.103 1.608 2.179 0.527 1.477 1.391 0.448 0.480 0.671 0.228 0.996 0.352 0.424 1.244 5541 0.540 1.083 2.302 0.874 1.134 1.735 0.308 0.298 0.148 0.659 1.019 0.505 0.513 1.079 5637 0.271 1.463 2.067 0.466 0.154 0.758 0.024 0.000 0.923 0.638 2.588 0.077 0.389 0.861 5639 0.207 0.702 2.447 0.042 1.200 1.082 0.075 0.643 0.113 1.424 2.035 0.374 0.433 0.259 5642 0.363 1.867 1.723 0.232 0.255 0.966 0.062 0.070 0.738 1.900 1.894 0.081 0.308 0.957 5643 1.547 1.659 0.532 1.194 1.489 0.285 0.352 0.072 0.250 1.014 1.961 0.084 1.184 0.486 5647 0.534 1.373 0.016 0.902 0.980 0.399 0.471 0.220 0.272 1.081 2.790 0.614 0.416 1.093 5719 0.033 1.926 2.267 0.102 0.075 2.095 0.120 0.259 0.873 0.583 0.758 0.082 0.945 0.746 5722 0.032 0.365 2.691 0.687 0.807 1.630 0.597 0.559 0.193 0.108 1.037 0.607 0.068 1.559 5750 0.327 0.908 1.888 0.133 1.144 1.912 0.302 0.972 0.178 0.041 1.541 0.978 0.523 1.278 5766 0.501 0.207 0.328 0.712 0.415 1.012 0.562 0.757 0.172 0.242 2.532 1.395 0.161 2.063 5802 0.034 2.163 2.306 0.056 0.031 2.015 0.022 0.071 0.835 0.524 1.179 0.033 0.775 0.220 5844 0.134 2.028 2.687 0.176 0.051 1.973 0.095 0.083 0.638 0.495 0.539 0.034 0.102 0.724 6024 0.485 1.078 0.263 0.332 1.659 1.018 0.378 1.146 0.077 0.408 0.940 0.726 0.413 2.597 6092 0.380 1.078 2.068 0.577 0.456 1.436 0.635 0.458 0.088 0.762 0.880 1.056 0.851 1.773 6147 0.090 1.764 2.013 0.252 0.299 1.968 0.667 0.363 0.655 0.084 1.269 0.084 0.395 1.523 6242 0.748 0.214 0.079 0.978 1.263 1.791 0.819 0.765 0.109 0.183 0.408 1.747 0.200 2.252 6460 0.155 1.757 2.049 0.418 1.259 1.623 0.362 0.799 0.602 0.301 1.064 0.457 0.123 1.158 6572 0.113 1.784 1.940 0.168 0.119 1.953 0.423 0.176 0.464 0.588 1.719 0.083 0.483 1.296 6770 0.194 2.221 0.188 1.097 0.266 1.015 0.532 0.581 0.905 2.064 1.112 0.332 0.419 0.954 6771 0.113 1.021 2.221 0.424 0.095 1.906 0.667 0.362 0.223 1.215 0.643 0.188 0.475 1.854 6895 0.558 1.574 0.136 0.337 1.960 0.784 0.790 1.038 0.409 0.111 1.073 0.684 0.385 2.128 7026 0.575 0.781 1.884 0.827 1.182 1.222 0.794 0.936 0.843 0.642 1.305 0.647 0.168 1.359 7052 0.023 2.052 2.079 0.139 0.066 1.847 0.175 0.308 0.807 0.925 1.133 0.039 0.165 1.328 7136 0.347 1.640 2.298 0.771 0.441 1.413 0.952 0.485 0.327 0.017 0.667 0.359 0.259 1.721 7214 0.185 1.109 2.300 0.188 1.152 1.879 0.355 1.239 0.028 0.136 0.324 0.010 0.151 1.853 7265 0.281 1.140 1.014 0.756 1.374 1.759 0.530 0.530 0.147 0.897 1.276 0.460 0.295 2.005 7280 0.207 1.313 2.369 0.869 0.319 1.717 0.309 0.652 0.085 0.197 1.395 1.159 0.085 0.919 7358 0.985 1.298 0.951 1.029 0.886 1.424 0.456 1.214 0.047 1.008 1.230 0.317 0.152 1.854 7676 1.205 1.144 0.137 1.195 0.805 0.755 0.897 1.138 0.059 0.476 1.184 1.256 0.640 1.980 7688 0.579 1.485 0.103 1.089 1.936 1.162 0.801 0.673 1.004 0.225 1.792 0.038 0.250 1.173 7764 0.987 0.795 2.174 0.807 1.488 0.721 0.445 0.621 0.127 0.641 0.673 0.663 0.875 1.588 780 0.069 1.668 2.416 0.331 0.148 1.656 0.294 0.218 1.042 0.766 1.276 0.041 0.345 1.037 784 0.006 0.584 2.414 0.314 0.163 1.707 0.495 0.266 0.403 0.064 0.850 0.154 0.168 2.466 8005 0.074 1.275 2.041 0.087 0.051 2.139 0.085 0.320 0.629 0.262 0.555 0.144 0.227 2.353 8008 0.140 1.553 2.299 0.685 0.229 1.880 0.424 0.307 0.922 0.941 0.708 0.053 0.274 1.208 8026 0.000 2.096 2.785 0.114 0.147 1.372 0.123 0.471 0.633 0.752 0.663 0.025 0.082 0.754 8041 0.377 2.192 0.126 0.304 0.094 2.131 0.098 0.274 1.251 1.125 1.780 0.082 0.256 0.873 8056 0.083 1.221 2.275 0.246 0.101 1.778 0.352 0.646 0.849 0.477 0.578 0.081 0.354 2.077 8090 0.107 1.471 1.646 0.349 0.266 2.152 0.276 0.252 1.072 1.788 0.894 0.232 0.268 0.930 8119 0.383 0.879 0.107 0.624 1.773 1.669 0.775 0.809 0.201 0.046 1.111 0.650 0.259 2.342 8189 0.139 1.242 1.089 0.194 1.287 1.751 0.174 0.192 0.577 1.010 0.547 0.016 0.095 2.618 819 1.276 1.924 0.184 0.773 1.583 0.333 0.218 0.886 0.015 0.280 1.703 0.383 0.115 1.928 8190 0.520 0.864 0.269 0.921 1.065 1.160 0.268 1.268 0.120 0.331 0.995 1.649 0.139 2.360 8193 0.160 1.824 1.742 0.503 0.808 1.755 0.240 0.283 1.035 0.348 1.183 0.244 0.119 1.675 8194 0.111 1.691 2.344 0.604 0.081 1.525 0.102 0.135 0.785 1.284 1.350 0.036 0.296 1.019 8195 0.141 0.637 1.996 3.149 0.085 0.478 0.023 0.031 0.290 0.548 0.707 0.010 0.109 0.667 8196 0.221 1.998 1.774 0.508 0.301 1.277 0.127 0.179 0.680 1.901 0.908 0.046 0.140 1.471 8268 0.250 2.069 2.312 0.288 0.049 1.247 0.159 0.321 0.559 0.449 1.133 0.643 0.303 1.499 8283 1.166 1.435 0.542 1.519 0.966 0.454 0.862 0.078 0.644 0.688 2.203 0.086 0.795 0.971 8307 0.347 1.768 1.606 0.697 1.224 2.190 0.238 0.719 0.159 0.324 0.767 0.103 0.121 1.435 8431 0.144 1.453 1.609 0.791 1.015 1.639 1.054 0.697 0.231 0.017 0.580 0.191 0.360 2.150 8607 0.085 1.508 2.247 0.268 0.446 1.863 0.447 0.163 0.667 0.528 0.889 0.336 0.342 1.700 8709 0.127 1.103 2.330 0.412 0.471 1.656 0.569 0.732 0.176 0.900 1.046 0.099 0.174 1.792 8730 0.486 0.904 0.734 0.475 0.982 1.108 0.715 1.509 0.089 0.064 1.937 0.520 0.159 2.191 8743 0.067 1.846 2.519 0.092 0.508 1.992 0.211 0.675 0.462 0.502 0.479 0.017 0.067 1.109 8886 0.230 0.837 2.114 0.086 1.044 1.902 0.169 0.962 0.134 0.030 1.084 0.637 0.524 1.827 9017 0.437 1.778 1.802 0.616 1.204 1.663 0.359 0.363 0.161 0.348 1.084 0.054 0.231 1.782 9022 0.148 2.811 1.363 1.109 1.213 0.758 0.255 0.695 0.124 0.093 0.696 0.270 0.137 1.167 9083 0.633 1.245 2.162 1.081 1.295 1.303 0.637 0.915 0.286 0.302 0.773 1.286 0.334 0.339 9093 0.317 1.682 1.129 1.312 0.297 1.124 0.689 0.615 0.390 0.645 1.374 0.324 0.581 2.039 9138 0.039 0.978 3.257 0.173 0.127 1.818 0.174 0.444 0.079 0.070 0.175 0.000 0.000 1.001 9217 0.994 1.122 2.168 1.549 1.115 0.882 0.475 0.481 0.046 0.675 0.919 0.482 0.796 0.974 9231 0.056 1.534 3.471 0.433 0.511 0.373 0.084 0.112 0.116 0.144 0.602 0.022 0.000 0.072 9260 0.330 1.394 0.077 0.183 1.534 1.946 0.386 1.571 0.426 0.090 0.715 0.265 0.306 2.142 9260_R02 0.300 1.444 0.056 0.178 1.518 2.044 0.345 1.540 0.357 0.043 0.656 0.298 0.296 2.127 9260_R03 0.256 1.371 0.061 0.171 1.574 2.018 0.358 1.540 0.404 0.096 0.689 0.248 0.301 2.140 9260_R04 0.292 1.440 0.044 0.147 1.559 2.005 0.367 1.586 0.363 0.053 0.667 0.238 0.272 2.129 9260_R05 0.290 1.393 0.052 0.146 1.564 2.025 0.360 1.614 0.364 0.062 0.677 0.223 0.280 2.112 9260_R06 0.255 1.405 0.051 0.146 1.568 2.013 0.367 1.644 0.359 0.043 0.653 0.202 0.245 2.130 9260_R07 0.272 1.420 0.056 0.183 1.560 2.031 0.369 1.604 0.347 0.069 0.676 0.227 0.283 2.094 9260_R08 0.263 1.434 0.053 0.165 1.545 2.034 0.351 1.595 0.355 0.049 0.660 0.210 0.249 2.134 9260_R09 0.284 1.399 0.045 0.179 1.567 2.021 0.365 1.624 0.360 0.068 0.684 0.231 0.291 2.089 9260_R10 0.313 1.421 0.054 0.148 1.553 2.023 0.370 1.585 0.362 0.063 0.695 0.212 0.291 2.109 9296 1.153 0.877 1.274 1.380 1.327 0.948 0.680 0.566 0.087 0.911 1.662 0.490 0.589 1.253 9360 0.395 0.321 2.339 0.624 0.930 1.148 0.646 0.880 0.052 0.239 0.669 1.119 0.101 2.090 9397 0.897 1.927 0.109 1.017 1.904 0.715 0.589 0.701 0.035 0.424 0.833 0.500 0.342 1.960 9398 0.272 2.182 2.236 0.613 0.336 1.442 0.103 0.190 1.076 0.179 1.329 0.057 0.276 0.862 9401 0.967 2.036 0.204 1.789 1.636 0.553 0.304 0.447 0.009 0.029 1.451 0.179 0.231 1.631 9402_D01 0.048 1.701 2.530 0.071 0.078 1.805 0.086 0.291 0.663 0.686 1.210 0.027 0.193 1.253 9402_D02 0.045 1.693 2.591 0.054 0.071 1.767 0.081 0.265 0.665 0.678 1.206 0.007 0.175 1.222 9402_D03 0.065 1.733 2.512 0.080 0.093 1.759 0.110 0.248 0.718 0.697 1.275 0.023 0.155 1.225 9402_D04 0.053 1.689 2.592 0.051 0.061 1.782 0.094 0.310 0.665 0.638 1.170 0.023 0.176 1.230 9402_D05 0.079 1.638 2.629 0.038 0.027 1.699 0.098 0.304 0.640 0.691 1.213 0.011 0.141 1.292 9402_D06 0.057 1.708 2.743 0.062 0.114 1.618 0.058 0.290 0.717 0.669 1.095 0.015 0.072 1.077 9402_D07 0.043 1.502 2.907 0.085 0.063 1.696 0.048 0.162 0.428 0.484 1.078 0.000 0.159 1.122 9402_D08 0.042 1.818 2.921 0.101 0.033 1.557 0.042 0.210 0.366 0.510 1.059 0.000 0.000 0.898 9402_D09 0.281 1.554 3.081 0.044 0.000 1.635 0.035 0.000 0.457 0.381 0.894 0.000 0.061 0.798 9402_D10 0.257 1.656 3.177 0.015 0.000 1.474 0.000 0.000 0.428 0.199 0.854 0.000 0.000 0.834 9402_D11 0.154 1.497 3.209 0.074 0.000 1.597 0.000 0.269 0.427 0.284 0.839 0.000 0.051 0.500 9402_D12 0.676 1.381 3.220 0.000 0.000 1.564 0.000 0.000 0.739 0.118 0.377 0.000 0.000 0.941 9402 0.061 1.773 2.464 0.095 0.098 1.709 0.107 0.270 0.786 0.749 1.242 0.037 0.207 1.252 9402_R02 0.055 1.667 2.575 0.074 0.072 1.835 0.099 0.251 0.656 0.692 1.213 0.036 0.182 1.153 9402_R03 0.059 1.719 2.486 0.084 0.087 1.737 0.102 0.285 0.747 0.736 1.250 0.028 0.198 1.279 9402_R04 0.060 1.708 2.482 0.081 0.085 1.785 0.100 0.302 0.687 0.719 1.238 0.037 0.195 1.293 9402_R05 0.068 1.717 2.506 0.066 0.070 1.731 0.100 0.272 0.700 0.735 1.256 0.027 0.199 1.290 9402_R06 0.057 1.721 2.543 0.050 0.060 1.762 0.090 0.280 0.702 0.696 1.205 0.022 0.180 1.256 9402_R07 0.048 1.688 2.562 0.063 0.079 1.721 0.103 0.307 0.675 0.708 1.211 0.026 0.184 1.282 9402_R08 0.065 1.721 2.524 0.064 0.068 1.715 0.103 0.287 0.693 0.714 1.238 0.022 0.187 1.300 9402_R09 0.060 1.704 2.543 0.080 0.083 1.783 0.091 0.269 0.681 0.691 1.205 0.030 0.184 1.242 9402_R10 0.050 1.685 2.568 0.080 0.074 1.820 0.092 0.266 0.632 0.668 1.199 0.025 0.181 1.218 9481 0.048 1.865 2.713 0.265 0.086 1.596 0.106 0.102 0.733 0.049 1.335 0.045 0.381 0.831 9503 0.691 1.257 0.235 0.367 1.324 1.435 0.596 0.974 0.095 0.347 0.913 1.104 0.502 2.338 9507 0.023 1.995 2.001 0.094 0.106 1.691 0.274 1.239 0.544 0.065 1.435 0.058 0.037 1.475 9647 0.611 0.950 1.860 0.603 0.985 1.530 0.588 0.800 0.091 0.021 0.675 0.607 1.233 1.900 9717 0.861 2.034 0.225 1.026 1.314 1.120 0.603 0.485 0.153 0.857 0.767 0.140 0.495 2.059 9795 0.301 1.606 2.079 0.419 0.628 1.749 0.395 0.181 0.185 0.083 1.269 0.038 0.221 2.004 9797 0.200 0.906 2.209 0.268 1.036 1.954 0.254 0.848 0.713 0.214 0.694 0.047 0.174 1.870 9831 0.127 2.103 1.936 0.439 0.619 1.597 0.522 1.216 0.548 0.130 0.697 0.356 0.148 1.349 9881 0.200 1.679 2.377 0.790 0.248 1.676 0.417 0.220 0.918 0.585 0.750 0.113 0.549 1.156 B01.1117 0.348 0.691 0.950 1.282 0.949 1.124 0.186 0.922 0.194 0.077 1.718 0.275 0.637 2.421 B04.2708 0.131 1.277 2.859 0.275 0.067 1.408 0.105 0.474 0.448 0.922 0.923 0.033 0.125 1.371 B05.2945 0.516 0.223 0.528 1.075 2.089 0.825 0.445 0.723 0.047 1.073 0.770 0.665 1.079 2.096 B06.0638 0.041 1.632 2.745 0.287 0.078 1.576 0.040 0.174 0.653 1.011 1.323 0.043 0.360 0.433 B06.0757 0.108 1.387 2.737 0.403 0.090 1.418 0.134 0.325 0.629 1.383 1.086 0.041 0.102 0.888 B06.1310 0.212 0.674 2.354 0.504 0.196 0.771 0.171 0.241 0.121 1.721 1.251 0.241 0.648 2.015 B06.2626 0.421 1.095 0.660 1.891 0.482 1.061 0.260 0.793 0.151 2.635 1.109 0.029 0.041 0.373 B07.0131 0.285 0.179 2.125 0.521 0.648 0.705 0.286 1.630 0.873 0.893 1.403 0.299 0.050 1.904 B07.0512 0.256 0.756 2.727 0.831 1.061 1.011 0.018 0.546 0.000 0.527 0.796 0.000 0.364 1.892 B07.2345 0.176 0.638 0.210 0.808 1.384 1.515 0.473 1.601 0.268 0.039 1.792 0.220 0.101 2.198 B07.2712 0.352 1.014 0.823 1.715 0.938 0.850 0.413 0.682 0.305 0.891 2.051 0.175 0.138 1.820 B07.2960 0.056 1.612 2.232 1.317 0.416 1.477 0.605 0.715 0.256 0.023 1.308 0.118 0.184 1.337 B08.0130 0.093 1.253 2.864 0.337 0.122 0.838 0.072 0.027 0.592 1.066 1.588 0.004 0.149 1.227 B08.1769 0.076 0.328 2.811 1.443 0.366 1.026 0.307 1.135 0.177 0.241 0.913 0.035 0.000 1.585 B08.1825 1.176 0.873 0.366 1.360 1.320 0.311 0.487 1.014 0.006 0.540 1.193 0.396 0.212 2.505 B08.1852 0.062 1.334 2.838 0.121 0.047 0.861 0.068 0.310 0.574 1.029 1.846 0.034 0.254 0.782 B08.1999 0.032 1.311 2.707 0.352 0.112 1.476 0.070 0.370 0.680 0.059 1.838 0.049 0.255 1.030 B08.2071 0.523 0.778 0.152 0.422 1.195 1.003 0.412 2.582 0.405 0.645 1.058 0.285 0.315 1.745 B08.2463 0.181 0.532 2.588 0.623 0.243 1.529 0.220 0.845 0.027 0.078 1.270 0.090 0.450 1.972 B09.0141 0.849 1.072 1.163 1.338 0.971 0.550 0.772 1.239 0.221 0.730 1.203 0.408 0.315 2.049 B09.0388 0.100 0.728 2.633 0.693 0.186 1.319 0.177 0.259 0.513 1.301 0.854 0.108 0.135 1.856 B09.1810 0.092 1.485 2.286 0.601 0.180 1.306 0.205 0.135 0.319 1.541 1.496 0.211 0.205 1.377 B09.1892 0.094 1.199 2.610 0.112 0.042 1.004 0.014 0.052 0.578 2.058 1.377 0.020 0.140 1.001 B09.2264 0.089 1.093 2.508 0.452 0.133 1.278 0.159 0.412 0.407 1.693 1.391 0.078 0.168 1.274 B10.0146 0.099 1.549 2.514 0.334 0.377 1.786 0.175 0.187 0.588 0.077 1.944 0.076 0.178 0.509 B10.0640 0.913 0.194 0.562 1.206 1.484 0.436 0.411 1.208 0.037 0.542 0.940 1.069 0.255 2.513 B12.1717 0.021 0.810 2.769 0.123 0.073 1.635 0.058 0.117 0.792 1.072 1.342 0.052 0.206 1.313 X10.0083 0.546 0.509 0.786 0.791 1.393 0.855 0.346 1.649 0.111 0.492 1.746 0.666 0.130 2.104 GHE0015 0.378 0.961 0.726 1.039 1.203 1.450 1.134 1.362 0.404 0.852 0.855 0.169 0.135 2.031 GHE0016 0.168 1.033 1.909 0.284 0.303 1.654 0.493 0.574 0.565 0.416 1.009 0.074 0.153 2.483 GHE0024 0.231 1.615 2.687 0.497 0.215 1.127 0.725 0.298 0.344 0.046 0.511 0.065 0.177 1.920 GHE0028 0.194 1.463 0.975 0.614 0.444 2.020 0.655 0.468 0.537 0.756 0.555 0.077 0.266 2.424 GHE0047 0.136 1.128 2.574 0.339 0.380 1.538 0.463 1.047 0.397 0.573 0.610 0.228 0.196 1.677 GHE0061 0.100 1.405 2.379 0.338 0.177 1.696 0.448 0.428 0.463 0.325 0.655 0.082 0.246 2.098 GHE0140 0.122 1.271 2.730 0.424 0.287 1.084 0.756 0.669 0.361 0.654 0.676 0.122 0.157 1.699 GHE0202 0.238 1.002 1.294 0.393 0.867 1.201 0.602 1.232 0.165 1.003 0.523 0.222 0.246 2.619 GHE0219 0.470 1.628 0.521 0.783 0.920 1.063 0.854 1.453 0.137 1.229 0.956 0.292 0.186 2.035 GHE0228 0.550 1.865 0.061 0.732 0.910 0.622 1.343 0.543 0.031 0.659 0.755 0.114 0.175 2.650 GHE0258 0.164 1.682 1.863 0.387 0.226 1.875 0.639 1.529 0.808 0.042 0.181 0.110 0.154 1.740 GHE0262 0.094 1.103 2.969 0.486 0.334 1.273 0.498 0.501 0.288 0.512 0.626 0.032 0.078 1.476 GHE0292 0.522 0.533 0.287 0.242 1.361 0.963 0.916 1.316 0.058 0.040 0.570 0.578 0.578 2.864 GHE0293 0.156 1.107 1.866 0.609 0.694 1.628 0.521 0.503 0.335 0.646 0.853 0.150 0.218 2.348 GHE0368 0.513 1.471 0.141 0.434 0.810 0.791 0.463 1.506 0.056 0.195 0.474 0.319 0.155 2.947 GHE0375 0.205 1.111 1.828 0.510 0.380 1.668 0.653 0.695 0.516 0.845 0.786 0.111 0.296 2.259 GHE0429 0.470 0.757 1.436 0.424 1.065 0.986 0.745 1.514 0.165 0.677 0.560 0.596 0.613 2.332 GHE0436 0.067 1.733 2.441 0.096 0.072 1.589 0.164 0.531 0.728 0.730 1.123 0.034 0.208 1.502 GHE0440 0.451 1.195 0.163 0.270 0.944 1.544 0.803 1.723 0.078 0.382 0.587 0.502 0.475 2.450 GHE0507 0.061 1.666 2.339 0.161 0.177 1.356 0.264 0.791 0.349 0.978 0.891 0.015 0.044 1.943 GHE0547 0.198 1.105 2.457 0.368 0.557 1.304 0.480 0.702 0.561 0.194 0.414 0.050 0.121 2.289 GHE0562 0.017 1.473 1.387 0.176 0.741 1.291 0.177 0.356 0.986 1.304 0.803 0.133 0.134 2.472 GHE0629 0.036 1.535 1.637 0.277 0.195 1.766 0.611 0.762 0.499 1.839 1.244 0.039 0.162 1.311 GHE0632 0.255 0.944 2.143 0.118 0.472 1.606 0.281 0.741 0.669 0.512 0.708 0.202 0.121 2.372 GHE0635 0.386 0.946 0.073 0.432 1.175 0.792 0.817 1.038 0.014 0.233 0.644 0.520 0.117 3.053 GHE0659 0.033 1.632 2.015 0.191 0.193 1.855 0.310 0.803 0.352 0.199 1.121 0.184 0.196 2.024 GHE0685 0.085 1.569 1.301 0.151 0.345 1.962 0.324 1.054 1.120 0.147 0.968 0.115 0.189 2.152 GHE0708 0.411 1.838 0.340 0.404 0.934 0.636 0.897 1.293 0.072 0.032 0.717 0.313 0.239 2.720 GHE0717 0.042 1.492 1.947 0.185 0.129 1.806 0.293 0.444 0.391 1.277 1.196 0.030 0.271 1.901 GHE0776 0.508 1.460 0.094 0.706 1.206 1.778 0.739 0.553 0.917 0.041 1.006 0.089 0.234 2.348 GHE0811 0.027 1.330 2.600 0.356 0.245 1.434 0.263 0.468 0.550 0.442 0.536 0.147 0.149 2.059 GHE0834 0.481 0.146 2.008 0.238 1.202 0.702 0.460 1.111 0.044 0.212 0.544 0.351 0.144 2.767 GHE0837 0.060 1.486 2.191 0.175 0.097 1.720 0.176 0.817 0.801 0.721 0.915 0.024 0.251 1.897 GHE0853 0.368 1.215 1.682 0.949 0.574 1.968 0.370 1.101 0.428 0.801 0.755 0.107 0.183 1.775 GHE0855 0.111 1.665 0.125 0.553 0.598 2.025 1.027 0.884 0.737 0.053 1.519 0.105 0.711 1.783 GHE0857 0.196 0.538 2.042 0.270 0.481 1.744 0.794 1.463 0.095 0.378 0.588 0.374 0.100 2.202 GHE0860 0.049 1.660 1.970 0.208 0.664 1.822 0.457 0.826 0.283 0.250 0.610 0.189 0.389 2.030 GHE0877 0.180 1.018 1.783 0.352 0.402 1.877 0.671 0.793 0.256 1.035 0.669 0.175 0.259 2.217 GHE0908 0.395 1.224 0.289 0.285 1.291 0.743 0.315 1.420 0.060 0.172 0.710 0.893 0.157 2.826 GHE0997 0.182 1.369 1.231 0.556 0.557 1.401 1.085 0.618 0.623 0.830 1.063 0.146 0.260 2.318 GHE1018 0.447 0.189 2.177 0.276 1.101 0.760 0.588 1.471 0.085 0.045 0.886 0.480 0.092 2.391 GHE1028 0.182 0.413 1.906 0.261 0.872 0.956 0.289 1.492 0.057 0.097 0.067 0.216 0.312 2.852 GHE1069 0.303 0.828 2.332 0.190 0.953 1.388 0.347 0.826 0.049 0.152 0.436 0.359 0.081 2.427 GHE1225 0.099 1.920 0.016 0.226 0.780 2.071 0.407 1.254 0.617 0.247 1.466 0.669 0.274 1.609 GHE1229 0.023 0.934 2.108 0.169 0.054 1.979 0.374 1.251 0.575 0.796 0.870 0.019 0.140 1.930 GHE1287 0.483 1.638 0.033 0.466 1.640 0.582 0.637 1.948 0.067 0.216 1.247 0.456 0.248 1.971 GHE1302 0.169 1.355 1.966 0.561 0.344 1.807 0.386 0.772 0.623 0.934 0.810 0.056 0.137 1.930 GHE1352 0.086 1.447 1.385 0.195 0.749 1.561 0.333 1.356 0.725 0.059 0.920 0.218 0.086 2.376 GHE1353 0.077 1.376 2.271 0.097 0.456 2.016 0.216 0.729 1.030 0.045 0.834 0.039 0.062 1.719 GHE1373 0.142 0.764 0.032 0.200 1.665 1.009 0.285 1.167 0.274 0.130 1.130 0.555 0.491 2.810 GHE1393 0.385 0.687 2.064 0.286 1.186 0.732 0.597 0.997 0.258 0.380 0.468 0.360 0.253 2.558 GHE1409 0.160 1.401 0.730 0.300 0.962 1.770 0.703 1.150 0.873 0.387 0.622 0.056 0.134 2.415 GHE1413 0.106 1.537 1.799 0.185 0.081 1.712 0.535 0.294 0.636 0.040 0.888 0.037 0.307 2.511 GHE1424 0.195 2.167 0.783 0.219 0.214 1.178 0.360 0.955 0.933 0.508 1.448 0.055 0.085 2.225 GHE1498 0.222 0.490 2.244 0.233 0.097 1.291 0.365 1.710 0.070 0.321 1.027 0.671 0.080 2.156 GHE1553 0.761 1.704 0.264 0.457 1.109 1.086 0.769 1.630 0.106 0.807 1.087 0.354 0.777 1.788 GHE1554 0.459 1.353 1.985 0.835 0.256 1.677 0.766 1.296 0.041 0.754 1.073 0.172 0.188 1.430 GHE2002 0.329 0.374 2.185 0.400 0.125 1.501 0.574 0.533 0.577 0.370 2.215 0.098 0.426 1.528 GHE2003 0.262 0.882 0.091 1.025 1.063 1.167 0.595 1.066 0.100 0.636 1.769 0.474 0.105 2.438 GHE2012 0.027 0.690 1.846 1.759 0.115 1.877 0.217 0.921 0.404 0.360 0.290 0.185 0.135 2.174 GHE2019 0.201 1.092 2.147 0.158 0.653 1.512 0.372 0.922 0.532 0.018 0.615 0.528 0.165 2.324 GHE2026 0.127 1.489 1.788 0.115 0.261 1.855 0.148 0.734 0.690 0.675 0.741 0.034 0.090 2.324 GHE2030 0.042 1.425 1.525 0.227 0.654 1.516 0.306 0.661 0.917 0.751 0.638 0.084 0.201 2.498 GHE2109 0.142 1.247 2.328 0.395 0.335 1.507 0.619 0.799 0.727 0.620 0.646 0.189 0.119 1.936

TABLE S3 Univariate survival analysis of the genes included in the RT-MLPA predictor. The individual power of 8 genes measured by RT-MLPA to predict the overall and progression-free survival of 135 patients treated with a combination of Rituximab and chemotherapy was assessed using univariate Cox models. Raw p-values of the subsequent likelihood-ratio tests, as well as the corresponding False Discovery Rates (FDR) and Hazard Ratios (HR), are presented for each of them. Progression-Free Survival Overal Survival Gene p FDR HR p FDR HR LMO2 0.000736 0.005884* 0.457253 0.002983 0.011932* 0.485042 BCL6 0.004633 0.018531* 0.423641 0.036193 0.070998 0.521272 TNFRSF13B 0.013549 0.036130* 2.549328 0.002057 0.011932* 3.452999 FOXP1 0.026251 0.052502 1.841605 0.037758 0.070998 1.809569 IGHM 0.133880 0.178506 1.212521 0.768369 0.768369 1.039949 NEK6 0.126099 0.178506 0.545349 0.130903 0.174537 0.533563 IRF4 0.161656 0.184750 1.342991 0.044374 0.070998 1.585370 MYBL1 0.436523 0.436523 0.767482 0.611616 0.698989 0.834771 *FDR <5%, considered significant

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The invention claimed is:
 1. A method for classifying a diffuse large B-cell lymphoma (DLBCL) of a subject into a germinal center B cell-like (GCB)-DLBCL or into a activated B-Cell like (ABC)-DLBCL comprising: determining an expression level of at least 10 genes in a tumor tissue sample obtained from the subject by performing a Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) assay wherein the at least 10 genes are selected from the group consisting of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2 and MYBL1, said RT-LMPA assay including the steps of i) preparing a cDNA sample from the tumor tissue sample, ii) incubating the cDNA sample of step i) with a mixture of at least 10 different pairs of probes, wherein each pair of probes is specific for a target nucleic acid sequence of a gene selected from the group consisting of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2, MYBL1, and wherein each pair of probes includes a first probe and a second probe, wherein the first probe comprises a target specific region (L) complementary to a first segment of the target nucleic acid sequence, and a tail region (TL) at the 5′ extremity of the target specific region (L) which is non-complementary to said target nucleic acid sequence, wherein the second probe comprises a target specific region (R) complementary to a second segment of the target nucleic acid sequence; and a tail region (TR) at the 3′ extremity of the target specific region (R) which is non-complementary to said target nucleic acid sequence, wherein one or more of the pair of probes specific for a target nucleic acid sequence is selected from the group consisting of: a) a pair of probes specific for NEK6 comprising a first probe which is SEQ ID NO:54 (GTGCCAGCAAGATCCAATCTAGACCTGTGCATCCTCCTGACCCACAG) and a second probe which is SEQ ID NO:55 (AGGCATCCCAACACGCTGTCTTTTCCAACCCTTAGGGAACCC); b) a pair of probes specific for IRF4comprising a first probe which is SEQ ID NO:56 (GTGCCAGCAAGATCCAATCTAGATCTGCCGAAGCCTTGGCGTTCTCAG) and a second probe which is SEQ ID NO:57 (ACTGCCGGCTGCACATCTGCCTGTATCCAACCCTTAGGGAACCC); c) a pair of probes specific for IGHM comprising a first probe which is SEQ ID NO:58 (GTGCCAGCAAGATCCAATCTAGATGCGTCCTCCATGTGTGGCCCCG) and a second probe which is SEQ ID NO:59 (ATCAAGACACAGCCATCCGGGTCTTCTACTATCCAACCCTTAGGGAACC); d) a pair of probes specific for LMO2comprising a first probe which is SEQ ID NO:62 (GTGCCAGCAAGATCCAATCTAGACGGAAGCTCTGCCGGAGAGACTATCTCAG) and a second probe which is SEQ ID NO:63 (GCTTTTTGGGCAAGACGGTCTCTGCTACTATCCAACCCTTAGGGAACCC); e) a pair of probes specific for FOXP1comprising a first probe which is SEQ ID No:64 (GTGCCAGCAAGATCCAATCTAGACCCTTCCCCTTCAACCTCTTGCTCAAG) and a second probe which is SEQ ID NO:65 (GCATGATTCCAACAGAACTGCAGCAGCTACTACTACTCCAACCCTTAGGGAACCC); f) a pair of probes specific for TNFRSF9 comprising a first probe which is SEQ ID NO:66 (GTGCCAGCAAGATCCAATCTAGATACGGACCTGTGACATATGCAGGCAGTGTAAAG) and a second probe which is SEQ ID NO:67 (GTGTTTTCAGGACCAGGAAGGAGTGTTCCTACTCCAACCCTTAGGGAACCC); g) a pair of probes specific for BCL6 comprising a first probe which is SEQ ID NO:68 (GTGCCAGCAAGATCCAATCTAGATACTACTCATAAAACGGTCCTCATGGCCTGCAG) and a second probe which is SEQ ID NO:69 (TGGCCTGTTCTATAGCATCTTTACAGACCAGTTGTCCAACCCTTAGGGAACCC) h) a pair of probes specific for TNFRSF13B comprising a first probe which is SEQ ID NO:70 (GTGCCAGCAAGATCCAATCTAGATACTACTACTAGCGCACCTGTGCAGCCTTCTGCA) and a second probe which is SEQ ID NO:71 (GGTCACTCAGCTGCCGCAAGGAGCTACTACTACTACTCCAACCCTTAGGGAACCC); i) a pair of probes specific for CCND2 comprising a first probe which is SEQ ID NO:72 (GTGCCAGCAAGATCCAATCTAGATACTACTGACCTTCATTGCTCTGTGTGCCACCG) and a second probe which is SEQ ID NO:73 (ACTTTAAGTTTGCCATGTACCCACCGTCGATACTACTATCCAACCCTTAGGGAACCC); and j) a pair of probes specific for MYBL1 comprising a first probe which is SEQ ID NO:76 (GTGCCAGCAAGATCCAATCTAGACCAGAATTTGCAGAGACTCTAGAACTTATTGAATCT) and a second probe which is SEQ ID NO:77 (GATCCTGTAGCATGGAGTGACGTTACCAGTTTTTACTACTTCCAACCCTTAGGGAACCC); iii) ligating the first probe to the second probe of each pair of probes, iv) amplifying ligated probes produced at step iii), and v) detecting and quantifying amplicons produced at step iv), based on the expression level determined in the determining step, calculating, for the DLBCL, a probability of belonging to an ABC class and a probability of belonging to a GCB class; classifying the DLBCL as an ABC when the probability of belonging to the ABC class is higher than a predetermined ABC confidence threshold, or classifying the DLBCL as a GCB when the probability of belonging to a GCB-DLBCL class is higher than a predetermined GCB-DLBCL confidence threshold.
 2. A method for classifying a diffuse large B-cell lymphoma (DLBCL) of a subject into a germinal center B cell-like (GCB)-DLBCL or into a activated B-Cell like (ABC)-DLBCL comprising: determining an expression level of at least 10 genes in a tumor tissue sample obtained from the subject by performing a Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) assay wherein the at least 10 genes are selected from the group consisting of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2and MYBL1, said RT-LMPA assay including the steps of i) preparing a cDNA sample from the tumor tissue sample, ii) incubating the cDNA sample of step i) with a mixture of at least 10different pairs of probes, wherein each pair of probes is specific for a target nucleic acid sequence of a gene selected from the group consisting of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2, MYBL1, and wherein each pair of probes includes a first probe and a second probe, wherein the cDNA sample is also incubated with a competitor probe specific for NEK6 which is SEQ ID NO:82 (AGGCATCCCAACACGCTGTCTTT)), iii) ligating the first probe to the second probe of each pair of probes, iv) amplifying ligated probes produced at step iii), and v) detecting and quantifying amplicons produced at step iv), based on the expression level determined in the determining step, calculating, for the DLBCL, a probability of belonging to an ABC class and a probability of belonging to a GCB class; classifying the DLBCL as an ABC when the probability of belonging to the ABC class is higher than a predetermined ABC confidence threshold, or classifying the DLBCL as a GCB when the probability of belonging to a GCB-DLBCL class is higher than a predetermined GCB-DLBCL confidence threshold.
 3. A method for classifying a diffuse large B-cell lymphoma (DLBCL) of a subject into a germinal center B cell-like (GCB)-DLBCL or into a activated B-Cell like (ABC)-DLBCL comprising: determining an expression level of at least 10 genes in a tumor tissue sample obtained from the subject by performing a Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) assay wherein the at least 10 genes are selected from the group consisting of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2and MYBL1, said RT-LMPA assay including the steps of i) preparing a cDNA sample from the tumor tissue sample, ii) incubating the cDNA sample of step i) with a mixture of at least 10 different pairs of probes, wherein each pair of probes is specific for a target nucleic acid sequence of a gene selected from the group consisting of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2, MYBL1, and wherein each pair of probes includes a first probe and a second probe, wherein the cDNA sample is also incubated with a competitor probe specific for IGHM which is SEQ ID NO:83 (ATCAAGACACAGCCATCCGGGTCTTC)), iii) ligating the first probe to the second probe of each pair of probes, iv) amplifying ligated probes produced at step iii), and v) detecting and quantifying amplicons produced at step iv), based on the expression level determined in the determining step, calculating, for the DLBCL, a probability of belonging to an ABC class and a probability of belonging to a GCB class; classifying the DLBCL as an ABC when the probability of belonging to the ABC class is higher than a predetermined ABC confidence threshold, or classifying the DLBCL as a GCB when the probability of belonging to a GCB-DLBCL class is higher than a predetermined GCB-DLBCL confidence threshold.
 4. A method of treating diffuse large B-cell lymphoma (DLBCL) in a subject in need thereof, comprising i) classifying a diffuse large B-cell lymphoma (DLBCL) of a subject into a germinal center B cell-like (GCB)-DLBCL or into an activated B-cell like (ABC)-DLBCL by a) determining an expression level of at least 10 genes in a tumor tissue sample obtained from the subject by performing a Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) assay wherein the at least 10 genes are selected from the group consisting of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2, and MYBL1, b) based on the expression level determined in determining step a), calculating, for the DLBCL, a probability of belonging to an ABC class and a probability of belonging to a GCB class; c) classifying the DLBCL as an ABC when the probability of belonging to the ABC class is higher than a predetermined ABC confidence threshold, or d) classifying the DLBCL as a GCB when the probability of belonging to a GCB-DLBCL class is higher than a predetermined GCB-DLBCL confidence threshold; and ii) treating the subject for ABC-DLBCL when the DLBCL is classified as an ABC, or treating the subject for GCB-DLBCL when the DLBCL is classified as an GCB.
 5. A method of determining an expression level of at least 10 genes in a tumor tissue sample obtained from a subject having diffuse large B-cell lymphoma (DLBCL), comprising the step of performing a Reverse Transcriptase Multiplex Ligation dependent Probe Amplification (RT-MLPA) assay to amplify at least 10 genes are selected from the group consisting of NEK6, IRF4, IGHM, LMO2, FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2and MYBL1.
 6. The method of claim 5, wherein the method further includes amplification of at least one additional gene selected from the group consisting of CCND1, MS4A1, MYC, and BCL2.
 7. An analysis method, comprising the steps of: obtaining a tumor tissue sample from a subject having a tumor; and performing a reverse transcriptase multiplex ligation dependent probe amplification (RT-MLPA) on the tumor tissue sample to determine an expression level of NEK6, IRF4, IGHM, LMO2. FOXP1, TNFRSF9, BCL6, TNFRSF13B, CCND2and MYBL1. 